Publications

Publications in Google Scholar

Publications in DBLP

Table of contents

  1. Books
  2. International Journals
  3. National Journals
  4. Journals (German)
  5. Editorships
  6. Book Chapters
  7. Conference Papers
  8. Habilitationsschrift (Habilitation)
  9. Workshop Papers

Books

  1. A. Felfernig, A. Falkner, D. Benavides. Feature Models – AI-Driven Design, Analysis and Applications. Springer Cham. 2024. Open Access logo PLoS transparent.svg [Springer]
  2. A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic. Group Recommender Systems: An Introduction. (2 ed.) Springer Publishing Company, Incorporated, 2024. [Springer]
  3. A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic. Group Recommender Systems: An Introduction. (1 ed.) Springer Publishing Company, Incorporated, 2018. [Springer] [Amazon]
  4. A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen. Knowledge-based Configuration: From Research to Business Cases. (1 ed.) Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014. [ScienceDirect] [Google Books] [Amazon] [Official Website]
  5. D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich. Recommender Systems – An Introduction. (1 ed.) Cambridge University Press, New York (English 2010, Japanese 2012, Chinese 2013) [Google Books] [Amazon]

International Journals

  1. A. Felfernig, M. Wundara, T.N.T. Tran, V.M. Le, S. Lubos, and S. Polat-Erdeniz. Sports Recommender Systems: Overview and Research Directions. Journal of Intelligent Information Systems. 2024. Open Access logo PLoS transparent.svg [Springer]
  2. M. Uta, A. Felfernig, V.M. Le, T.N.T. Tran, D. Garber, S. Lubos, and T. Burgstaller. Knowledge-based Recommender Systems: Overview and Research Directions. Frontiers in Big Data, section Recommender Systems. 2024. Open Access logo PLoS transparent.svg [frontiers]
  3. S. Lubos, A. Felfernig, and Markus Tautschnig. An Overview of Video Recommender Systems: State-of-the-Art and Research Issues. Frontiers in Big Data, section Recommender Systems, vol. 6. 2023. Open Access logo PLoS transparent.svg [frontiers] [PDF]
  4. A. Felfernig, M. Wundara, T.N.T. Tran, S. Polat-Erdeniz, S. Lubos, M. El-Mansi, D. Garber, and V.M. Le. Recommender Systems for Sustainability: Overview and Research Issues. Frontiers in Big Data, section Recommender Systems. 2023. Open Access logo PLoS transparent.svg [frontiers] [PDF]
  5. T.N.T. Tran, A. Felfernig, and V.M. Le. An Overview of Consensus Models for Group Decision-Making and Group Recommender Systems. Journal of User Modeling and User-Adapted Interaction. 2023. Open Access logo PLoS transparent.svg [Springer]
  6. S.P. Erdeniz, S.P.K. Veeranki, S. Jauk, T.N.T. Tran, A. Felfernig, M. Schrempf, D. Kramer, and W. Leodolter. Explaining Predictions of Decision Support Systems in Healthcare. Current Directions in Biomedical Engineering, vol. 8, no. 2, pp. 117-120. 2022Open Access logo PLoS transparent.svg [De Gruyter] [PDF]
  7. C. Vidal, A. Felfernig, J. Galindo, M. Atas, and D. BenavidesExplanations for over-constrained problems using QuickXPlain with speculative executions. Journal of Intelligent Information Systems. 2021. Open Access logo PLoS transparent.svg [Springer] [PDF]
  8. M. Atas, A. Felfernig, S. Polat-Erdeniz, A. Popescu, T.N.T. Tran, and M. Uta. Towards psychology-aware preference construction in recommender systems: Overview and research issues. Journal of Intelligent Information Systems. 2021. Open Access logo PLoS transparent.svg [Springer] [PDF]
  9. A. Popescu, S.P. Erdeniz, A. Felfernig, M. Uta, M. Atas, V.M. Le, K. Pilsl, M. Enzelsberger, and T.N.T. Tran. An Overview of Machine Learning Techniques in Constraint Solving. Journal of Intelligent Information Systems. 2021. Open Access logo PLoS transparent.svg [Springer] [PDF]
  10. E. Lex, D. Kowald, P. Seitlinger, T.N.T. Tran, A. Felfernig, and M. Schedl. Psychology-informed Recommender Systems. Foundations and Trends® in Information Retrieval, vol. 15, no. 2, pp 134-242. 2021. [now Publishers] [PDF]
  11. S. Polat Erdeniz, A. Felfernig, and M. Atas. Applying matrix factorization to consistency-based direct diagnosis. Appl Intell, 2021. Open Access logo PLoS transparent.svg [Springer] [PDF-corrected version]
  12. T.N.T. Tran, A. Felfernig, and N. Tintarev. Humanized Recommender Systems: State-of-the-art and Research Issues. ACM Transactions on Interactive Intelligent Systems, vol. 11, no. 2, article 9, pp. 1-41, 2021. [ACM]
  13. V.M. Le, A. Felfernig, T.N.T. Tran, M. Atas, M. Uta, D. Benavides, and J. Galindo. DirectDebug: A Software Package for the Automated Testing and Debugging of Feature Models. Software Impacts, 100085, vol. 9, 2021. Open Access logo PLoS transparent.svg [ScienceDirect]
  14. M. Vecchio, P. Azzoni, A. Menychtas, I. Maglogiannis, and A. Felfernig. A Fully Open-source Approach to Intelligent Edge Computing: the AGILE’s Lesson. Sensors, vol. 21, no. 4: 1309, 2021. Open Access logo PLoS transparent.svg [MDPI]
  15. T.N.T. Tran, A. Felfernig, C. Trattner, and A. Holzinger. Recommender systems in the healthcare domain: state-of-the-art and research issues. Journal of Intelligent Information Systems, 2020. Open Access logo PLoS transparent.svg [Springer]
  16. T.N.T. Tran, M. Atas, V.M. Le, R. Samer,  and M. Stettinger. Social Choice-based Explanations: An Approach to Enhancing Fairness and Consensus Aspects. Journal of Universal Computer Science, vol. 26, no. 3, pp. 402-431, 2020. Open Access logo PLoS transparent.svg [J.UCS] [PDF]
  17. S. Polat-Erdeniz, A.Menychtas, I. Maglogiannis, A. Felfernig, and T.N.T. Tran. Recommender systems for IoT enabled quantified-self applications. Evolving Systems, vol. 11, pp. 291-304, 2019. Open Access logo PLoS transparent.svg [Springer]
  18. A. Felfernig, S. Polat-Erdeniz, C. Uran, S. Reiterer, M. Atas, T.N.T. Tran, P. Azzoni, C. Kiraly, and K. Dolui. An Overview of Recommender Systems in the Internet of Things. Journal of Intelligent Information Systems, vol. 52, pp. 285-309, 2018. Open Access logo PLoS transparent.svg [Springer] [PDF]
  19. A. Felfernig. R. Walter, J. Galindo, D. Benavides, M. Atas, S. Polat-Erdeniz, and S. Reiterer. Anytime Diagnosis for Reconfiguration. Journal of Intelligent Information Systems, vol. 51, pp. 161-182, 2018. Open Access logo PLoS transparent.svg [Springer] [arXiv]
  20. A. Felfernig, T. Gruber, and M. Stettinger. Consistency Management Techniques for Variability Modeling. Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling, vol. 13, pp. 207-215, 2018. Open Access logo PLoS transparent.svg [EMISAJ] [PDF]
  21. A. Shehadeh, A. Felfernig, M. Stettinger, M. Jeran, and S. Reiterer. Automated Learning Content Generation from Knowledge Bases in the STUDYBATTLES Environment. International Journal of Software Engineering and Knowledge Engineering, vol. 27, no.09n10, pp. 1387-1408, 2017. [World Scientific] [PDF] (SEKE 2017 best paper)
  22. T.N.T. Tran, M. Atas, A. Felfernig, and M. Stettinger. An Overview of Recommender Systems in the Healthy Food Domain. Journal of Intelligent Information Systems (JIIS), vol. 50, pp. 501-526, 2017. Open Access logo PLoS transparent.svg [Springer] [PDF]
  23. J. Tiihonen and A. Felfernig. An Introduction to Personalization and Mass Customization. Journal of Intelligent Information Systems (JIIS), vol. 49, pp. 1-7, 2017. Open Access logo PLoS transparent.svg [Springer] [PDF]
  24. T. Ulz, M. Schwarz, A. Felfernig, S. Haas, A. Shehadeh, S. Reiterer, and M. Stettinger. Human Computation for Constraint-based Recommenders. Journal of Intelligent Information Systems (JIIS), vol. 49, pp. 37-57, 2017. Open Access logo PLoS transparent.svg [Springer] [PDF]
  25. N. Tintarev, J. O’Donovan, and A. Felfernig. Introduction to the Special Issue on Human Interaction with Artificial Advice Givers. ACM Transactions on Interactive Intelligent Systems, vol. 6, no. 4, pp. 1-12, 2016. [ACM] [PDF]
  26. R. Walter, A. Felfernig, and W. Küchlin. Constraint-Based and SAT-Based Diagnosis of Automotive Configuration Problems. Journal of Intelligent Information Systems (JIIS), vol. 49, pp. 87-118, 2016. Open Access logo PLoS transparent.svg [Springer]
  27. A. C. Valdez, M. Ziefle, K. Verbert, A. Felfernig, and A. & Holzinger. Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives. In: Holzinger, A. (ed.) Machine Learning for Health Informatics, Lecture Notes in Computer Science, vol 9605, pp. 391-414.  Springer. 2016. Open Access logo PLoS transparent.svg [Springer] [PDF]
  28. P. Grasch and A. Felfernig. On the Importance of Subtext in Recommender Systems. icom, vol. 14, no. 1, pp. 41-52, 2015. Open Access logo PLoS transparent.svg [De Gruyter] [PDF]
  29. G. Leitner, A. Felfernig, A. Fercher, and M. Hitz. Disseminating Ambient Assisted Living in the Rural Area. Sensors, vol. 14, no. 8, pp. 13496-13531, 2014. Open Access logo PLoS transparent.svg [MDPI] [PDF]
  30. L. Chen, M. deGemmis, A. Felfernig, P. Lops, F. Ricci, and G. Semeraro. Human Decision Making and Recommender Systems. ACM Transactions on Interactive Intelligent Systems, vol. 3, no. 3, article no. 17, 2013. [ACM] [PDF]
  31. A. Felfernig and F. Wotawa. Intelligent engineering techniques for knowledge bases. AI Communications, vol. 26, no. 1, pp. 1–2. 2013. [IOS Press] [PDF]
  32. A. Felfernig, S. Schippel, G. Leitner, F. Reinfrank, K. Isak, M. Mandl, P. Blazek, and G. Ninaus. Automated Repair of Scoring Rules in Constraint-based Recommender Systems. AI Communications, vol. 26, no. 1, pp. 15-27, 2013. [IOS Press] [PDF]
  33. E. Teppan and A. Felfernig. Minimization of Decoy Effects in Recommender Result Sets. Web Intelligence and Agent Systems: An International Journal, vol. 10, no. 4, pp. 385-395, 2012. [IOS Press] [PDF]
  34. A. Felfernig, M. Schubert, and C. Zehentner. An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets. Artificial Intelligence for Engineering Design, Analysis, and Manufacturing (AIEDAM), Cambridge University Press, vol. 26, no.1, pp. 53-62, 2012. [Cambridge University Press] [arXiv]
  35. R. Burke, A. Felfernig, and P. Pu. Preface to the special issue on User Interfaces for Recommender Systems, User Modeling and User-Adapted Interaction (UMUAI), vol. 22, pp. 313-316, 2012. Open Access logo PLoS transparent.svg [Springer] [PDF]
  36. R. Burke, A. Felfernig, and M. Goeker. Recommender Systems: An Overview. AI Magazine, AAAI, vol. 32, no. 3, pp. 13-18, 2011. Open Access logo PLoS transparent.svg [AAAI] [PDF]
  37. A. Felfernig, M. Stumptner, and J. Tiihonen. Special Issue: Configuration. Artificial Intelligence in Engineering Design, Analysis, and Manufacturing (AIEDAM), vol. 25, no. 2, Cambridge University Press, 2011. [Cambridge University Press] [PDF]
  38. A. Falkner, A. Felfernig, and A. Haag. Recommendation Technologies for Configurable Products. AI Magazine, AAAI, vol. 32, no. 3, pp. 99-108, 2011. Open Access logo PLoS transparent.svg [AAAI] [PDF]
  39. M. Schubert and A. Felfernig. BFX: Diagnosing Conflicting Requirements in Constraint-Based Recommendation. International Journal of Artificial Intelligence Tools, World Scientific Publishers, vol. 20, no. 2, pp. 297-312, 2011. [World Scientific] [PDF]
  40. A. Felfernig and M. Schubert. Personalized Diagnoses for Inconsistent User Requirements. Artificial Intelligence for Engineering Design, Analysis, and Manufacturing (AIEDAM), suppl. Configuration, Cambridge University Press, vol. 25, no. 2, pp. 175-183, 2011. [Cambridge University Press] [PDF]
  41. M. Mandl, A. Felfernig, E. Teppan, and M. Schubert. Consumer Decision Making in Knowledge-based Recommendation. Journal of Intelligent Information Systems (JIIS), vol. 37, no. 1, pp. 1-22, 2011. Open Access logo PLoS transparent.svg [Springer] [PDF]
  42. R. Burke, A. Felfernig, and M. Goeker. The Future of Recommender Systems: Research and Applications. AI MAGAZINE2011.
  43. J. Tiihonen and A. Felfernig. Towards Recommending Configurable Offerings. International Journal of Mass Customization, vol. 3, no. 4, pp. 389-406, 2010. [InderScience] [PDF]
  44. A. Felfernig, G. Friedrich, K. Isak, K. Shchekotykhin, E. Teppan, and D. Jannach. Automated Debugging of Recommender User Interface Descriptions. Journal of Applied Intelligence, Springer Verlag, vol. 31, no. 1, pp. 1-14, 2009. Open Access logo PLoS transparent.svg [Springer] [PDF]
  45. E. Teppan and A. Felfernig. Impacts of Decoy Elements on Result Set Evaluation in Knowledge-Based Recommendation. International Journal of Advanced Intelligence Paradigms, Inderscience, vol. 1, no. 3, pp. 358-373, 2009. [InderScience] [PDF]
  46. A. Felfernig, G. Friedrich, L. Schmidt-Thieme. Introduction to the IEEE Intelligent Systems Special Issue: Recommender Systems. IEEE Intelligent Systems, vol. 22, no. 3, pp. 18-21, 2007. [PDF]
  47. A. Felfernig. Standardized Configuration Knowledge Representations as Technological Foundation for Mass Customization. IEEE Transactions on Engineering Management, vol. 54, no. 1, pp. 41-56, 2007. [IEEE] [PDF]
  48. A. Felfernig. Reducing Development and Maintenance Efforts for Web-based Recommender Applications. International Journal of Web Engineering and Technology, vol. 3, no. 3, pp. 329-351, 2007. [InderScience]
  49. A. Felfernig, B. Gula, and E. Teppan. Knowledge-based Recommender Technologies for Marketing and Sales. Special issue of Personalization Techniques for Recommender Systems and Intelligent User Interfaces for the International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 21, no. 2, pp. 333-354, 2007. [World Scientific] [PDF]
  50. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. An Integrated Environment for the Development of Knowledge-based Recommender Applications. International Journal of Electronic Commerce (IJEC), vol. 11, no. 2, pp. 11-34, 2006. [Taylor & Francis Online] [PDF]
  51. A. Felfernig, K. Isak, G. Kreutler, T. Kruggel, E. Teppan. Knowledge Representations for the Interactive Selling of Financial Services. Information Systems and E-Business Management, vol. 5, no. 2, pp. 143-166, 2006. Open Access logo PLoS transparent.svg [Springer] [PDF]
  52. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Consistency-based Diagnosis of configuration knowledge bases. Artificial Intelligence, vol. 152, no. 2, pp. 213–234, 2004. Open Access logo PLoS transparent.svg [ScienceDirect] [PDF]
  53. L. Ardissono, A. Felfernig, G. Friedrich, A. Goy, D. Jannach, G. Petrone, R. Schaefer, and M. Zanker. A Framework for the Development of Personalized, Distributed Web-Based Configuration Systems. AI Magazine, vol. 24, no. 3, pp. 93–110, 2003. Open Access logo PLoS transparent.svg [AAAI] [PDF]
  54. A. Felfernig, G. Friedrich, D. Jannach, M. Stumptner, and M. Zanker. Configuration Knowledge Representations for Semantic Web Applications. Artificial Intelligence in Engineering, Design, Analysis and Manufacturing (AIEDAM), vol. 17, no. 1, pp. 31–50, 2003. [Cambridge University Press] [PDF]
  55. A. Felfernig, G. Friedrich, D. Jannach, C. Russ, and M. Zanker. Multi-site product configuration of telecommunication switches. Computing <Wien>, vol. 1, no. 2, pp. 1-10, 2002. [PDF]
  56. A. Felfernig, G. Friedrich, and D. Jannach. Conceptual modeling for configuration of mass-customizable products. Artificial Intelligence in Engineering, vol. 15, no. 2, pp. 165–176, 2001. [ScienceDirect] [PDF]
  57. A. Felfernig, G. Friedrich, and D. Jannach. UML as domain specific language for the construction of knowledge-based configuration systems. International Journal on Software Engineering and Knowledge Engineering, vol. 10, no. 4, pp. 449–469, 2000. [World Scientific] [PDF] (selected best papers from SEKE99)

National Journals

  1. S. Reiterer, M. Wundara, and A. Felfernig. Empfehlungstechnologien in der Öffentlichen Verwaltung. eGovernment Review, vol. 16, pp. 18-19, 2015. [PDF]
  2. A. Felfernig, S. Gordea, D. Jannach, E. Teppan, M. Zanker. A short Survey of Recommendation Technologies in Travel and Tourism. Oesterreichische Gesellschaft fuer Artificial Intelligence (OEGAI), vol. 25, no. 7, pp. 17–22, 2007. [PDF]
  3. A. Felfernig, K. Isak, and T. Kruggel. Testing Knowledge-based Recommender Systems. Oesterreichische Gesellschaft fuer Artificial Intelligence (OEGAI), vol. 4, pp. 12–18, 2005. [PDF]
  4. A. Felfernig, G. Friedrich, D. Jannach, M. Stumptner, and M. Zanker. Iterative Focusing for Finding Faults in Large Configurator Knowledge Bases. Journal of the Austrian Society for Artificial Intelligence (OEGAI), vol. 21, no. 3, pp. 13–22, 2002. [PDF]

Journals (German)

  1. S. Nungesser, W. Eixelsberger, A. Felfernig, M. Stettinger, S. Reiterer, and M. Jeran. Einsatz von Gruppenempfehlungssystemen im Tourismus. Tourismus Wissen Quarterly, vol. 5, pp. 205-208, 2016. [PDF]
  2. A. Felfernig, G. Friedrich, D. Jannach, C. Russ, and M. Zanker. Effektive Vertriebsunterstützung durch wissensbasierte Beratungssysteme. Elektrotechnik und Informationstechnik, vol. 7/8, pp. 238–242, 2005. [PDF]
  3. A. Felfernig, J. Mehlau, and A. Wimmer, C. Russ, and M. Zanker. Konzepte zur flexiblen Konfiguration von Finanzdienstleistungen. Banking and Information Technologie, Sonderheft zur Konferenz Wirtschaftsinformatik, vol. 5, no. 1, pp. 5–19, 2004. [PDF]
  4. A. Wimmer, A. Felfernig, D. Jannach, J. Mehlau, C. Russ, and M. Zanker. Produktmodellierung und Produktkonfiguration im Financial Planning. Banking and Information Technology (BIT), vol. 4, no. 1, pp. 379–388, 2003. [PDF]
  5. A. Felfernig, D. Jannach, C. Russ, and M. Zanker. Wissensbasierte Technologien für die virtuelle Beratung von Fondsprodukten. Banking and Information Technology (BIT), vol. 3, no. 3, pp. 46–52, 2002. [PDF]
  6. A. Felfernig, G. Friedrich, and D. Jannach. Intelligente Produktkonfiguratoren als Voraussetzung für maßgeschneiderte Massenprodukte. Elektrotechnik und Informationstechnik, vol. 116, no. 3, pp. 201–207, 1999. [PDF]

Editorships

  1. P. Brusilovsky, M. de Gemmis, A. Felfernig, M. Polignano, G. Semeraro, and M. Willemsen. 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2024). RecSys’24: Proceedings of the 18th ACM Conference on Recommender Systems2024. Open Access logo PLoS transparent.svg [ACM]
  2. L. Boratto, A. Felfernig, M. Stettinger, and M. Tkalčič. Preface on the special issue on group recommender systems. User Model User-Adap Inter 34, 483–487, 2024Open Access logo PLoS transparent.svg [Springer]
  3. P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, M. Polignano, G. Semeraro, and M. Willemsen. 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023). RecSys’23: Proceedings of the 17th ACM Conference on Recommender Systems2023. Open Access logo PLoS transparent.svg [CEUR]
  4. P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, M. Polignano, G. Semeraro, and M. Willemsen. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2022). RecSys’22: Proceedings of the 16th ACM Conference on Recommender Systems, pp. 667-670, 2022. [PDF]
  5. T. Bogers, C. Musto, D. Wang, A. Felfernig, S.B. Bruun, G. Semeraro, and Y. Zheng. FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys’22: Proceedings of the 16th ACM Conference on Recommender Systems, pp. 688-690, 2022. [PDF]
  6. A. Felfernig, L. Fuentes, J. Cleland-Huang, W.K.G. Assuncao, A. Falkner, M. Azanza, M.A. Rodriguez Luances, M. Bhushan, L. Semini, X. Devroey, C.M. Lima Werner, C. Seidl, V.M. Le, and J.M. Horcas. Proceedings of 26th ACM International Systems and Software Product Line Conference (SPLC’22), Volume A. Graz, Austria, 2022. Open Access logo PLoS transparent.svg [ACM]
  7. A. Felfernig, L. Fuentes, J. Cleland-Huang, W.K.G. Assuncao, C. Quinton, J. Gun, K. Schmid, M. Suchard, I. Ayala, J.M. Rojas, V.M. Le, and J.M. Horcas. Proceedings of 26th ACM International Systems and Software Product Line Conference (SPLC’22), Volume B. Graz, Austria, 2022. Open Access logo PLoS transparent.svg [ACM]
  8. M. Aldanondo, A. Falkner, A. Felfernig, and M. Stettinger. Proceedings of the 23rd International Configuration Workshop (ConfWS 2021), Vienna, Austria, 2021Open Access logo PLoS transparent.svg [CEUR-WS]
  9. P. Brusilovsky, M. de Gemmis, A. Felfernig, E. Lex, P. Lops, G. Semeraro, and M. Willemsen. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2021). RecSys’21: Proceedings of the 15th ACM Conference on Recommender Systems, pp. 783-786, 2021.Open Access logo PLoS transparent.svg [ACM]
  10. M. Stettinger, G. Leitner, A. Felfernig, Z.W. Ras, Intelligent Systems in Industrial Applications: Proceedings of 25th International Symposium on Methodologies for Intelligent Systems, ISMIS 2020, Graz, Austria, 2021download
  11. D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z.W. Ras. Foundations of Intelligent Systems: Proceedings of 25th International Symposium on Methodologies for Intelligent Systems, ISMIS 2020, Graz, Austria, 2020download
  12. C. Forza, L. Hvam, and A. Felfernig. Proceedings of the 22nd International Configuration Workshop, Vicenza, Italy, 2020download
  13. P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, G. Semeraro, and M. Willemsen. Interfaces and Human Decision Making for Recommender Systems. RecSys’20: Fourteenth ACM Conference on Recommender Systems, pp. 613-618, 2020download
  14. A. Felfernig, J. Tiihonen. Knowledge-based Configuration. JUCS – Journal of Universal Computer Science 26(3), pp. 317-317, 2020download
  15. P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, G. Semeraro, and M. Willemsen. RecSys’19 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2019). RecSys’19: Proceedings of the 13th ACM Conference on Recommender Systems, pp. 560-561, 2019download
  16. A. Felfernig, L. Hotz, J. Tiihonen, and M. Stettinger. Proceedings of the 20th International Configuration Workshop, Graz, Austria, 2018download
  17. A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic. Group Recommender Systems: An Introduction. Springer, 2018download
  18. P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, G. Semeraro, and M. Willemsen. RecSys’18 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2018). RecSys’18: Proceedings of the 12th ACM Conference on Recommender Systems, pp. 519-520, 2018download
  19. P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, N. Tintarev, and M. Willemsen. RecSys’17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2017). RecSys’17: Proceedings of the Eleventh ACM Conference on Recommender Systems, pp. 384-385, 2017download
  20. P. Brusilovsky, A. Felfernig, P. Lops, J. O’Donovan, G. Semeraro, N. Tintarev, and M. Willemsen. RecSys’16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2016). RecSys’16: Proceedings of the 10th ACM Conference on Recommender Systems, pp. 413-414, 2016download
  21. J. O’Donovan, A. Felfernig, N. Tintarev, P. Brusilovsky, G. Semeraro, and P. Lops. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS). RecSys’15: Proceedings of the 9th ACM Conference on Recommender Systems, pp. 347-348, 2015download
  22. A. Felfernig, J. Tiihonen, and P. Blazek. Proceedings of the 1st International Workshop on Personalization & Recommender Systems in Financial Services, April 16th, Graz, Austria, 2015download
  23. A. Felfernig, L. Hotz, C. Bagley, J. Tiihonen. Knowledge-based Configuration: From Research to Business Cases. Morgan Kaufmann Publishers Inc., 2014download
  24. A. Felfernig, C. Forza, and A. Haag. Proceedings of the 16th International Configuration Workshop, Novi Sad, Serbia, CEUR Proceedings, Vol. 1220, pp. 1-94, 2014download
  25. N. Tintarev, J. O’Donovan, P. Brusilovsky, A. Felfernig, G. Semeraro, and P. Lops. RecSys’14 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2014). RecSys’14: Proceedings of the 8th ACM Conference on Recommender Systems, pp. 383-384, 2014download
  26. L. Chen, M. deGemmis, A. Felfernig, P. Lops, F. Ricci, and G. Semeraro. Human Decision Making and Recommender Systems. ACM Transactions on Interactive Intelligent Systems, vol. 3, no. 3, 2013download
  27. L. Chen, M. deGemmis, A. Felfernig, P. Lops, F. Ricci, G. Semeraro, and M. Willemsem. Workshop on Human Decision Making in Recommender Systems: Decisions@RecSys’13. RecSys’13: Proceedings of the 7th ACM Conference on Recommender Systems, pp.479-480, 2013download
  28. A. Felfernig and F. Wotawa. Intelligent Engineering Techniques for Knowledge Bases. AI Communications, IOS Press, vol. 26, no. 1, 2013download
  29. L. Chen, A. Felfernig, J. Liu, Z.W. Ras, Foundations of Intelligent Systems: Proceedings of the 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012, Macau, China, Springer LNCS 7661, 2012download
  30. M. deGemmis, A. Felfernig, P. Lops, F. Ricci, G. Semeraro, and M. Willemsem. RecSys’12 Workshop on Human Decision Making and Recommender Systems. RecSys’12: Proceedings of the sixth ACM Conference on Recommender Systems, pp. 347-348, 2012download
  31. R. Burke, A. Felfernig, and P. Pu. Preface to the special issue on User Interfaces for Recommender Systems, User Modeling and User-Adapted Interaction (UMUAI), vol. 22, pp. 313-316, 2012download
  32. R. Burke, A. Felfernig, and M. Goeker. The Future of Recommender Systems: Research and Applications. AI MAGAZINE2011.
  33. A. Felfernig, L. Chen and M. Mandl. RecSys’11 Workshop on Human Decision Making and Recommender Systems (Decisions@RecSys’11). RecSys’11: Proceedings of the fifth ACM conference on Recommender Systems, pp. 389-390, 2011download
  34. A. Felfernig, M. Stumptner, and J. Tiihonen. Artificial Intelligence in Engineering Design, Analysis, and Manufacturing (AIEDAM) Special Issue on Configuration. Artificial Intelligence in Engineering Design, Analysis, and Manufacturing (AIEDAM), vol. 25, no. 2, Cambridge University Press, 2011download
  35. A. Felfernig and F. Wotawa. AI Communications Special Issue on Intelligent Engineering Techniques for Knowledge Bases2011.
  36. W. Maalej, A. Thurimella, and A. Felfernig. Proceedings of the 3rd International Workshop on Managing Requirements Knowledge(MaRK’2010), Sydney, Australia, 2010download
  37. J. Tiihonen, A. Felfernig, T. Männistö, and M. Zanker. Special Issue: Advances in Configuration Systems: editorial. International Journal of Mass Customization, vol. 3, no. 4, pp. 311-315. 2010.
  38. A. Felfernig and F. Wotawa. Proceedings of the ECAI’2010 Workshop on Intelligent Engineering Techniques for Knowledge Bases (IKBET). 19th European Conference on Artificial Intelligence, Lisbon, Portugal, 2010download
  39. L. Bergman, A. Tuzhilin, R. Burke, A. Felfernig, and L. Schmidt-Thieme. Proceedings of the third ACM conference on Recommender systems(RecSys’09), New York, USA, 2009download
  40. J. Tiihonen, A. Felfernig, M. Zanker, and T. Männistö. Proceedings of Workshop on Configuration Systems. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece, 2008download
  41. M. Zanker, A. Felfernig, and R. Burke. Proceedings of Workshop on Recommender Systems. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece, 2008download
  42. J. Tiihonen, A. Felfernig, T. Männistö, and M. Zanker. Special Issue on Configuration Systems. International Journal of Mass Customization2008.
  43. A. Felfernig, G. Friedrich, and L. Schmid-Thieme. Guest Editors’ Introduction: Recommender Systems. IEEE Intelligent Systems, vol. 22, no. 3, 2007download
  44. A. Felfernig and M. Zanker. Proceedings of the ECAI 2006 Workshop on Recommender Systems (ECAI’06). 17th European Conference on Artificial Intelligence, Riva del Garda, Italy, 2006download
  45. A. Felfernig and D. Jannach. Proceedings of the Configuration Workshop. 19th International Joint Conference on Artificial Intelligence (IJCAI’05), Edinburgh, Scotland, 2005download
  46. A. Felfernig, B. Faltings, G. Friedrich, and E. Freuder. Proceedings of the Workshop on Configuration. Orlando, Florida, 1999download

Book Chapters

  1. A. Jameson, M.C. Willemsen, and A. Felfernig, Individual and Group Decision Making and Recommender Systems. In: F. Ricci, L. Rokach, and S. Shapira (Eds), Recommender systems handbook (3rd edition). Springer, Berlin, 2022. download
  2. A. Felfernig, AI Techniques for Software Requirements Prioritization. In: M. Kalech and R. Abreu and M. Last (Eds), Artificial Intelligence Methods for Software Engineering (pp. 29-47). World Scientific, 2021. download
  3. A. Felfernig, T.N.T. Tran, and V.M. Le. Recommender Systems Beyond E-Commerce: Presence and Future. In: T. Dutta, M.K. Mandal (Eds.), Consumer Happiness: Multiple Perspectives. Studies in Rhythm Engineering. Springer, Singapore, 2021. download
  4. A. Felfernig, M. Atas, and M. Stettinger. Decision Tasks and Basic Algorithms. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 3-26). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018. download
  5. A. Felfernig, M. Atas, D. Helic, T.N.T. Tran, M. Stettinger, and R. Samer. Algorithms for Group Recommendation. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 27-58). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  6. C. Trattner, A. Said, L. Boratto, and A. Felfernig. Evaluating Group Recommender Systems. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 59-71). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  7. A. Felfernig, M. Atas, M. Stettinger, T.N.T. Tran, and S. Reiterer. Group Recommender Applications. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 75-89). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  8. A. Felfernig and M. Willemsen. Handling Preferences. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 91-103). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  9. A. Felfernig, N. Tintarev, T.N.T. Trang, and M. Stettinger. Explanations for Groups. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 105-126). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  10. A. Felfernig, M. Atas, R. Samer, M. Stettinger, T.N.T. Tran, and S. Reiterer. Further Choice Scenarios. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 129-144). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  11. A. Felfernig, M. Atas, M. Stettinger, T.N.T. Tran, and G. Leitner. Biases in Group Decisions. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 145-155). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  12. M. Tkalcic, A. Delic, and A. Felfernig. Personality, Emotions, and Group Dynamics. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 157-167). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  13. A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic. Conclusions. In A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic (Eds.), Group Recommender Systems: An Introduction (pp. 169-170). SpringerBriefs in Electrical and Computer Engineering. Springer, 2018download
  14. A. Jameson, M. Willemsen, A. Felfernig, M. de Gemmis, P. Lops, G. Semeraro, and L. Chen. Human Decision Making and Recommender Systems. In: Ricci F., Rokach L., Shapira B. (eds) Recommender Systems Handbook (pp. 611-648), 2nd Edition, Springer, Boston, MA, 2015.
  15. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Constraint-based Recommender Systems. In: Ricci F., Rokach L., Shapira B. (eds) Recommender Systems Handbook (pp. 161-190), 2nd Edition, Springer, Boston, MA, 2015.
  16. A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen. Motivation for the Book. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 3-7), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  17. L. Hotz, A. Felfernig, A. Günter, and J. Tiihonen. A Short History of Configuration Technologies. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 9-19), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  18. A. Felfernig, L. Hotz, J. Tiihonen, and C. Bagley. Configuration-Related Topics. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 21-27), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  19. A. Felfernig, C. Bagley, J. Tiihonen, L. Wortley, and L. Hotz. Benefits of Configuration Systems. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 29-33), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  20. A. Felfernig, L. Hotz, J. Tiihonen, and C. Bagley. Overview of the Book. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 35-37), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  21. L. Hotz, A. Felfernig, M. Stumptner, A. Ryabokon, C. Bagley, and K. Wolter. Configuration Knowledge Representation and Reasoning. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 41-72), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  22. A. Felfernig, S. Reiterer, F. Reinfrank, G. Ninaus, and M. Jeran. Conflict Detection and Diagnosis in Configuration. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 73-87), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  23. G. Leitner, A. Felfernig, P. Blazek, F. Reinfrank, and G. Ninaus. User Interfaces for Configuration Environments. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 89-106), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  24. A. Felfernig, F. Reinfrank, G. Ninaus, and P. Blazek. Redundancy Detection in Configuration Knowledge. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 157-166), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  25. J. Tiihonen, A. Felfernig, and M. Mandl. Personalized Configuration. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 167-179), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  26. M. Mandl, A. Felfernig, and E. Teppan. Consumer Decision-Making and Configuration Systems. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 181-190), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  27. A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen. Configuration-Related Research Challenges. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 191-195), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  28. S. Reiterer, A. Felfernig, P. Blazek, G. Leitner, F. Reinfrank, and G. Ninaus. WeeVis. In: A. Felfernig, L. Hotz, C. Bagley, and J. Tiihonen, (eds.) Knowledge-based Configuration – From Research to Business Cases (pp. 297-307), Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2014.
  29. A. Felfernig, M. Jeran, G. Ninaus, F. Reinfrank, S. Reiterer, and M. Stettinger. Basic Approaches in Recommendation Systems. In: Robillard M., Maalej W., Walker R., Zimmermann T. (eds) Recommendation Systems in Software Engineering (pp. 15-37). Springer, Berlin, Heidelberg, 2014. download
  30. A. Felfernig, M. Jeran, G. Ninaus, F. Reinfrank, and S. Reiterer. Toward the Next Generation of Recommender Systems: Applications and Research Challenges. In: Tsihrintzis G., Virvou M., Jain L. (eds) Multimedia Services in Intelligent Environments. Smart Innovation, Systems and Technologies, vol 24, pp. 81-98, Springer, Heidelberg, 2013. download
  31. A. Felfernig, G. Ninaus, H. Grabner, F. Reinfrank, L. Weninger, D. Pagano, and W. Maalej. An Overview of Recommender Systems in Requirements Engineering.  In: Maalej W., Thurimella A. (eds) Managing Requirements Knowledge (pp. 315-332). Springer, Berlin, Heidelberg. 2013. download
  32. A. Felfernig, C. Zehentner, G. Ninaus, H. Grabner, W. Maaleij, D. Pagano, L. Weninger, and F. Reinfrank. Group Decision Support for Requirements Negotiation. In: Ardissono L., Kuflik T. (eds) Advances in User Modeling. UMAP 2011. Lecture Notes in Computer Science, vol 7138. Springer, Berlin, Heidelberg. 2012. download
  33. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Developing Constraint-based Recommenders. In: Ricci F., Rokach L., Shapira B., Kantor P. (eds) Recommender Systems Handbook. Springer, Boston, MA. 2011. download
  34. A. Felfernig, B. Gula, E. Teppan. User Acceptance of Knowledge-based Recommenders. In: G. Uchyigit, M. Y Ma, (eds.) Machine Perception and Artificial Intelligence, Series in Machine Perception and Artificial Intelligence, vol. 70, pp. 249-276. World Scientific Publishers, 2008.
  35. A. Felfernig. Knowledge Acquisition for Configurable Products and Services. In: Virvou M., Jain L.C. (eds) Intelligent Interactive Systems in Knowledge-Based Environments. Studies in Computational Intelligence, vol 104, pp. 75-88. Springer, Berlin, Heidelberg. 2008. download
  36. A. Felfernig. Knowledge-based Recommender Technologies supporting the Interactive Selling of Financial Services. In: T. Blecker, G. Friedrich (eds.), Mass Customization Information Systems in Business, pp. 122-135. IGI Global, 2007. link
  37. D. Jannach, A. Felfernig, G. Kreutler, M. Zanker, G. Friedrich. Research Issues in knowledge-based Configuration. In: T. Blecker, G. Friedrich (eds.), Mass Customization Information Systems in Business, pp. 221-236. IGI Global, 2007. link
  38. A. Felfernig and M.Wundara. AI Technologien zur Unterstützung von Open Innovation E-Government.  In Wissensmanagement in der öffentlichen Verwaltung: Konzepte, Lösungen und Potentiale (1 ed., pp. 135-145). Wien: Österreichische Computergesellschaft. 2005. download
  39. A. Felfernig, J.I. Mehlau, A. Wimmer. Konzepte zur flexiblen Konfiguration von Finanzdienstleistungen. In Innovationen im Retail Banking (1 ed., pp. 345-362). Wiley, Munich, Germany, 2005. download
  40. A. Wimmer, A. Felfernig, D. Jannach, J. Mehlau, C. Russ, and M. Zanker. Produktmodellierung und Produktkonfiguration im Financial Planning. In: Bartmann D. (eds) Bankinformatik 2004, pp. 379–388. Gabler Verlag. 2004, download
  41. A. Felfernig, G. Friedrich, D. Jannach, M. Stumptner, and M. Zanker, Transforming UML domain descriptions into Configuration Knowledge Bases for the Semantic Web. In: Klein M., Omelayenko, B. (eds.) Knowledge Transformation for the Semantic Web, Frontiers in Artificial Intelligence and Applications, vol. 95, pp. 154–168. IOS Press, 2003. download link link
  42. A. Felfernig, G. Friedrich, D. Jannach, M. Zanker. Rapid Knowledge Base Development for Product Configuration Systems using the Unified Modeling Language. In: K. Itoh, S. Kumagai, T. Hirota (eds.) Domain Oriented Systems Development: Perspectives and Practices, pp. 119–138. Taylor and Francis, 2003download
  43. L. Ardissono, A. Felfernig, G. Friedrich, A. Goy, D. Jannach, R. Schaefer, and M. Zanker. Web-based Commerce of Complex Products and Services with Multiple Suppliers. In: J. Gasos, KD. Thoben (eds.), E-Business Applications (pp. 123–135). Advanced Information Processing. Springer, Berlin, Heidelberg. 2002. link
  44. R. Schaefer, W. Schuetz, X. Ceugniet, J. Mitchener, L. Ardissono, A. Goy, M. Zanker, D. Jannach, A. Felfernig, R. Simeoni, and R. Gavazzi. Personalized customer interaction for the configuration of products and services in a supply chain. In Stanford-Smith, B. Chiozza, E. (eds.) E-work and E-commerce. Novel solutions and practices for a global networked economy, pp. 298–304. IOS Press, 2001, link download

Conference Papers

  1. T.N.T. Tran, S. Polat-Erdeniz, A. Felfernig, S. Lubos, M. El Mansi, and V.M. Le, Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems. In 18th ACM Conference on Recommender Systems (RecSys ’24), October 14–18, 2024, Bari, Italy. 2024. Open Access logo PLoS transparent.svg [ACM] [PDF]
  2. S. Polat-Erdeniz, I. Adıyaman, T. Ince, A. Gür, and A. Felfernig. TOROS: Target Oriented O(n) Recommender System. In Proceedings of the 16th FLINS Conference on Computational Intelligence in Decision and Control & the 19th ISKE Conference on Intelligence Systems and Knowledge Engineering (FLINS-ISKE 2024), Madrid, Spain. 2024. [World Scientific]
  3. T. Burgstaller, D. Garber, V.M. Le, and A. Felfernig. Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning. In 28th ACM International Systems and Software Product Line Conference (SPLC 2024), Luxembourg. 2024. Open Access logo PLoS transparent.svg [ACM]
  4. S. Lubos, A. Felfernig, T.N.T. Tran, D. Garber, M.E. Mansi, S.P. Erdeniz, and V.M. Le. Leveraging LLMs for the Quality Assurance of Software Requirements. In 32nd IEEE International Requirements Engineering 2024, RE@Next! Track, (RE@Next! 2024), Reykjavik, Iceland. 2024. Open Access logo PLoS transparent.svg [IEEE] [PDF]
  5. J.A. Galindo, J.M. Horcas Aguilera, V.M. Le, A. Felfernig, R. Heradio, D. Fernandez-Amoros, and D. Benavides. Flama: un Esfuerzo Colaborativo para Soportar de forma Sostenible el Análisis de Modelos de Variabilidad. In XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024), Coruña, España. 2024. Open Access logo PLoS transparent.svg [Sistedes]
  6. V.M. Le, C. Vidal-Silva, A. Felfernig, D. Benavides, J. A. Galindo, and T.N.T. Tran. FastDiagP: An Algorithm for Parallelized Direct Diagnosis. In XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024), Coruña, España. 2024. Open Access logo PLoS transparent.svg [Sistedes]
  7. S.P. Erdeniz, I. Adiyaman, T. Ince, A. Gur, and A. Felfernig. ScoredKNN: An Efficient KNN Recommender based on Dimensionality Reduction for Big Data. In 27th International Symposium on Methodologies for Intelligent Systems (ISMIS 2024), Poitiers/Futuroscope, France. 2024. [Springer]
  8. V.M. Le, A. Felfernig, T.N.T. Tran, and M. Uta. InformedQX: Informed Conflict Detection for Over-Constrained Problems. In 38th AAAI Conference on Artificial Intelligence. AAAI’24, Vancouver, Canada. 2024. Open Access logo PLoS transparent.svg [AAAI] [PDF]
  9. T. Burgstaller, V.M. Le, T.N.T. Tran, A. Felfernig. FMTesting: A FeatureIDE Plug-in for Automated Feature Model Analysis and Diagnosis. In 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), Kraków, Poland. 2023. Open Access logo PLoS transparent.svg [IOS Press]
  10. S. Lubos, V.M. Le, A. Felfernig, T.N.T. Tran. Analysis Operations for Constraint-based Recommender Systems. In 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore. 2023. Open Access logo PLoS transparent.svg [ACM]
  11. S. Lubos, A. Felfernig, V.M. Le, T.N.T. Tran, D. Benavides, J.A. Zamudio, D. Garber. Analysis Operations On The Run: Feature Model Analysis in Constraint-based Recommender Systems. In 27th ACM International Systems and Software Product Line Conference (SPLC 2023), Tokyo, Japan. 2023. Open Access logo PLoS transparent.svg [ACM]
  12. S.P. Erdeniz, M. Schrempf, D. Kramer, P. Rainer, A. Felfernig, T.N.T. Tran, T. Burgstaller, S. Lubos. Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. In Artificial Intelligence in Medicine. AIME 2023. Lecture Notes in Computer Science, vol 13897. Springer, Cham. 2023. Open Access logo PLoS transparent.svg [Springer]
  13. S.P. Erdeniz, D. Kramer, M. Schrempf, P.P. Rainer, A. Felfernig, T.N.T. Tran, T. Burgstaller, S. Lubos. Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. In dHealth 2023, Vienna, Austria. 2023. Open Access logo PLoS transparent.svg [IOS Press]
  14. A. Felfernig, V.M. Le, S. Lubos. Conjunctive Query Based Constraint Solving For Feature Model Configuration. In 12th Conference on Information Technology and Its Application. CITA’23, Da Nang, Vietnam. 2023. Open Access logo PLoS transparent.svg [Springer] [arXiv]
  15. T.N.T. Tran, A. Felfernig, V.M. Le, T.M.N. Chau, and T.G. Mai. User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics. In 31st ACM Conference on User Modelling, Adaptation and Personalization. ACM UMAP 2023, Limassol, Cyprus. 2023. Open Access logo PLoS transparent.svg [ACM]
  16. V.M. Le, C.V. Silva, A. Felfernig, T.N.T. Tran, J. Galindo, and D. Benavides. FastDiagP: An Algorithm for Parallelized Direct Diagnosis. In 37th AAAI Conference on Artificial Intelligence. AAAI’23, Washington, DC, USA. 2023. Open Access logo PLoS transparent.svg [AAAI] [arXiv]
  17. A. Felfernig, V.M. Le, M. Uta, S.P. Erdeniz, and S. Lubos. Machine Learning and Constraint Solving: An Overview. In AAAI 2023 Bridge on Constraint Programming and Machine Learning, CPML 2023, Washington, DC, USA. 2023. Open Access logo PLoS transparent.svg [PDF]
  18. S. Lubos, M Rubino, C. Tautschnig, M. Tautschnig, B. Wen, K. Schoffmann, and A. Felfernig. Perfect Match in Video Retrieval. In MultiMedia Modeling. MMM’23. Lecture Notes in Computer Science, vol 13833. Springer, Cham. 2023. download
  19. S.P. Erdeniz, M. Schrempf, D. Kramer, and A. Felfernig. A Comparative Study: Classification vs. Matrix Factorization for Therapeutics Recommendation. In Foundations of Intelligent Systems. ISMIS 2022, Cosenza, Italy. Lecture Notes in Computer Science, vol -. Springer. 2022. download
  20. M. Uta, A. Felfernig, D. Helic, and V.M. Le. Accuracy- and Consistency-Aware Recommendation of Configurations. In 26th ACM International Systems and Software Product Line Conference – Volume A (SPLC’22), Graz, Austria. 2022. download
  21. V.M. Le, A. Felfernig, M. Uta, T.N.T. Tran, and C. Vidal-Silva. WipeOutR: Automated Redundancy Detection for Feature Models. In 26th ACM International Systems and Software Product Line Conference – Volume A (SPLC’22), Graz, Austria2022. Open Access logo PLoS transparent.svg [ACM]
  22. O. Tazl, C. Tafeit, F. Wotawa and A. Felfernig. DDMin versus QuickXplain – An Experimental Comparison of two Algorithms for Minimizing Collections. In the 2022 International Conference on Software Engineering and Knowledge Engineering (SEKE 2022), Virtual. 2022. download
  23. T.N.T. Tran, V.M. Le, M. Atas, A. Felfernig, M. Stettinger, and A. Popescu. Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain. In the RecSys 2021 Late-Breaking Results, pp. 645-650, Virtual2021download
  24. M. Uta, A. Felfernig, V.M. Le, A. Popescu, T.N.T. Tran, and D. Helic. Evaluating Recommender Systems in Feature Model Configuration. In the 25th ACM International Systems and Software Product Line Conference (SPLC 2021), pp.58-63, Virtual. 2021. download
  25. V.M. Le, A. Felfernig, M. Uta, D. Benavides, J. Galindo, and T.N.T. Tran. DirectDebug: Automated Testing and Debugging of Feature Models. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), pp. 81-85, IEEE/ACM, Virtual2021. [IEEE], [arXiv]
  26. A. Felfernig, V.M. Le, A. Popescu, M. Uta, T.N.T. Tran, and M. Atas. An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration. In 15th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS’21), Virtual, Krems, Austria. ACM, New York, NY, USA, 8 pages. 2021. download
  27. S. Cisneros-Cabrera, N. Mehandjiev, A. Felfernig, P. Sampaio, and S. Kununka. A Laddering Approach to Explore the Motivations of Taking Computer Advice for Supply Networks Formation. In the Pacific Asia Conference on Information Systems (PACIS 2020), Dubai, United Arab Emirates, 2020. download
  28. R. Samer, M. Stettinger, A. Felfernig, X. Franch, and A. Falkner. Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. In: G. DeGiacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarin, J. Lang (eds.) 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain. Frontiers in Artificial Intelligence and Applications, vol. 325. IOS Press. 2020download
  29. R. Samer, M. Stettinger, and A. Felfernig. Group Recommender User Interfaces for Improving Requirements Prioritization. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, pp. 221-229, Genoa, Italy. ACM, New York, NY, USA. 2020. download
  30. M. Uta and A. Felfernig. ConMerge – Arbitration of Constraint-Based Knowledge Bases. In: In: Fujita H., Fournier-Viger P., Ali M., Sasaki J. (eds) Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices (pp. 127-139). IEA/AIE 2020, Kitakyushu, Japan. Lecture Notes in Computer Science, vol 12144. Springer. 2020. download
  31. S.P. Erdeniz, R. Samer, and M. Atas. Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems. In: Helic D., Leitner G., Stettinger M., Felfernig A., Raś Z.W. (eds) Foundations of Intelligent Systems (pp. 287-297). ISMIS 2020, Graz, Austria. Lecture Notes in Computer Science, vol 12117. Springer. 2020. download
  32. V.M. Le, T.N.T. Tran, A. Felfernig. A Conversion of Feature Models into an Executable Representation in Microsoft Excel. In: Stettinger M., Leitner G., Felfernig A., Ras Z.W. (eds) Intelligent Systems in Industrial Applications (pp. 153-168). ISMIS 2020, Graz, Austria. Studies in Computational Intelligence, vol 949. Springer. 2020. download
  33. M. Stettinger, T.N.T.  Tran, I. Pribik, G. Leitner, A. Felfernig, R. Samer, M. Atas, and M. Wundara. KNOWLEDGECHECKR: Intelligent Techniques for Counteracting Forgetting. In: G. DeGiacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarin, J. Lang (eds.) 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, vol. 325, pp. 3034-3039, Frontiers in Artificial Intelligence and Applications. IOS Press. 2020download
  34. C. V. Silva, A. Felfernig, J. Galindo, M. Atas, and D. Benavides. A Parallelized Variant of Junker’s QuickXPlain Algorithm. In: Helic D., Leitner G., Stettinger M., Felfernig A., Raś Z.W. (eds) Foundations of Intelligent Systems (pp. 287-297). ISMIS 2020, Graz, Austria. Lecture Notes in Computer Science, vol 12117. Springer. 2020download
  35. W. Maalej, and A. Felfernig. Socio-Technical Design and Value Orientation. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für Gesellschaft. Der 49. Jahrestagung der Gesellschaft fur Informatik, Kassel, Deutschland. 2019. download
  36. R. Samer, M. Stettinger, M. Atas, A. Felfernig, G. Ruhe, and G. Deshpande. New Approaches to the Identification of Dependencies between Requirements. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, pp. 1265-1270. 2019. download
  37. R. Samer, A. Felfernig, and M. Stettinger. Towards Issue Recommendation for Open Source Communities. In IEEE/WIC/ACM International Conference on Web Intelligence (WI ’19). Association for Computing Machinery, New York, NY, USA, pp. 164–171. 2019download
  38. M. Atas, T.N.T.  Tran, A. Felfernig, S. Polat Erdeniz, R. Samer, and M. Stettinger. Towards Similarity-Aware Constraint-Based Recommendation. In: Wotawa F., Friedrich G., Pill I., Koitz-Hristov R., Ali M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2019), Graz, Austria. Lecture Notes in Computer Science, vol 11606, pp. 287-299. Springer. 2019download
  39. S. Polat Erdeniz, A. Felfernig, and M. Atas. Learned Constraint Ordering for Consistency Based Direct Diagnosis.  In: Wotawa F., Friedrich G., Pill I., Koitz-Hristov R., Ali M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2019), Graz, Austria. Lecture Notes in Computer Science, vol 11606, pp. 347-359. Springer. 2019download
  40. T. N. T. Tran, M. Atas, A. Felfernig, V. M. Le, R. Samer,  and M. Stettinger. Towards Social Choice-based Explanations in Group Recommender Systems. In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’19), Larnaca, Cyprus, pp. 13-21. Association for Computing Machinery, New York, NY, USA. 2019download
  41. M. Atas, R. Samer, A. Felfernig, S. Polat Erdeniz, and M. Stettinger. Socially-Aware Diagnosis for Constraint-Based Recommendation. In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’19), pp. 121-129, Larnaca, Cyprus. Association for Computing Machinery, New York, NY, USA. 2019download
  42. T. N. T. Tran, A. Felfernig, V. M. Le, M. Atas, M. Stettinger, and R. Samer. User Interfaces for Counteracting Decision Manipulation in Group Recommender Systems. In Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization (UMAP’19 Adjunct), pp. 93-98, Larnaca, Cyprus. Association for Computing Machinery, New York, NY, USA. 2019download
  43. S. Polat Erdeniz, A. Felfernig, and M. Atas. Novel Variable and Value Ordering Heuristics for Solving Precoloring Extension Problems. In 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR’19), Thessaloniki, Greece, 2019.
  44. S. Polat-Erdeniz, A. Felfernig, R. Samer, and M. Atas. Matrix Factorization based Heuristics for Constraint-based Recommenders. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), pp. 1655-1662, Limassol, Cyprus. Association for Computing Machinery, New York, NY, USA. 2019. download
  45. A. Felfernig, M. Stettinger, M. Wundara, and C. Stanik. Künstliche Intelligenz in der Öffentlichen Verwaltung. In: Stember J., Eixelsberger W., Neuroni A., Spichiger A., Habbel FR., Wundara M. (eds) Handbuch E-Government, pp. 491-504. Springer Gabler, Wiesbaden. 2019. download
  46. S. Polat-Erdeniz, A. Felfernig, M. Atas. LearnDiag: A Direct Diagnosis Algorithm Based On Learned Heuristics. In: Trollmann F., Turhan AY. (eds) KI 2018: Advances in Artificial Intelligence. The 41st German Conference on Artificial Intelligence (KI 2018), Berlin, Germany. Lecture Notes in Computer Science, vol 11117, pp. 190-197. Springer. 2018. download
  47. A. Felfernig, T. Gruber, G. Brandner, P.Blazek, and M. Stettinger. Customizing Events with Eventhelpr. In 8th International Conference on Mass Customization and Personalization – Community of Europe (MCP-CE 2018), Novi Sad, Serbia, pp. 88-91. 2018download
  48. M. Atas, R. Samer, and  A. Felfernig. Automated Identification of Type-Specific Dependencies between Requirements. 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Santiago, Chile, pp. 688-695, 2018download
  49. A. Felfernig, M. Stettinger, M. Atas, R. Samer, J. Nerlich, S. Scholz, J. Tiihonen, and M. Raatikainen. Towards Utility-based Prioritization of Requirements in Open Source Environments. 2018 IEEE 26th International Requirements Engineering Conference (RE), pp. 406-411, Banff, AB, Canada. 2018download
  50. M. Atas, T. Tran, A. Felfernig, and R. Samer. Socially-aware Recommendation for Over-Constrained Problems.  In: Mouhoub M., Sadaoui S., Ait Mohamed O., Ali M. (eds) Recent Trends and Future Technology in Applied Intelligence. 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2018), Montreal, Canada. Lecture Notes in Computer Science, vol 10868, pp. 267-278. Springer. 2018. download
  51. C. Uran and A. Felfernig. Lazy Conflict Detection with Genetic Algorithms.  In: Mouhoub M., Sadaoui S., Ait Mohamed O., Ali M. (eds) Recent Trends and Future Technology in Applied Intelligence. 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2018), Montreal, Canada. Lecture Notes in Computer Science, vol 10868, pp. 175-186. Springer. 2018download
  52. M. Raatikainen, J. Tiihonen, T. Männistö, A. Felfernig, M. Stettinger, and R. Samer. Using a Feature Model Configurator for Release Planning. In Proceedings of the 22nd International Systems and Software Product Line Conference – Volume 2 (SPLC ’18), pp. 29-33, Gothenburg, Sweden. Association for Computing Machinery, New York, NY, USA. 2018download
  53. D. Fucci, C. Palomares, X. Franch, D.  Costal, M. Raatikainen, M. Stettinger, Z. Kurtanovic, T. Kojo, L. Koenig, A. Falkner, G. Schenner, F. Brasca, T.  Männistö, A. Felfernig, and W. Maalej. Needs and Challenges for a Platform to Support Large-scale Requirements Engineering: A Multiple-case Study. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM ’18), Article 19, pp. 1–10, Oulu, Finland. Association for Computing Machinery, New York, NY, USA. 2018. download
  54. T. Tran, M. Atas, A. Felfernig, R. Samer, and M. Stettinger. Investigating Serial Position Effects in Sequential Group Decision Making. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP ’18), Singapore, pp. 239-243. Association for Computing Machinery, New York, NY, USA. 2018download
  55. S. Polat-Erdeniz and A. Felfernig. OCSH: Optimized Cluster-specific Heuristics for the University Course Timetabling Problem. In Proceedings of the 8th International Conference on Information Systems and Technologies (ICIST ’18). Association for Computing Machinery, New York, NY, USA, Article 13, pp. 1–6. 2018. download
  56. M. Atas, S. Reiterer, A. Felfernig, T. Tran, and Martin Stettinger. Polarization Effects in Group Decisions. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP ’18), Singapore, pp. 305-310. Association for Computing Machinery, New York, NY, USA, 305–310. 2018. download
  57. M. Meyer, K. Donsa, T. Truskaller, M. Frohner, B. Pohn, A. Felfernig, F. Sinner, and T. Pieber. Development of an Automated Glucose Measurement Transmission Protocol based on the Continua Design Guidelines for Clinical Decision Support Systems. Studies in health technology and informatics, vol. 248, pp. 132–139. IOS Press. 2018. download
  58. C. Quer, X. Franch, C. Palomares, A. Falkner, A. Felfernig, D. Fucci, W. Maalej, J. Nerlich, M. Raatikainen, G. Schenner, M. Stettinger, and J. Tiihonen. Reconciling Practice and Rigour in Ontology-Based Heterogeneous Information Systems Construction. In: Buchmann R., Karagiannis D., Kirikova M. (eds) The Practice of Enterprise Modeling. IFIP Working Conference on The Practice of Enterprise Modeling (PoEM 2018), Vienna, Austria. Lecture Notes in Business Information Processing, vol 335, pp. 205-220. Springer. 2018download
  59. M. Meyer, K. Donsa, T. Truskaller, M. Frohner, B. Pohn, A. Felfernig, F. Sinner, and T. Pieber. Development of a Protocol for Automated Glucose Measurement Transmission Used in Clinical Decision Support Systems Based on the Continua Design Guidelines. In Health Informatics Meets eHealth-Biomedical Meets eHealth-From Sensors to Decisions. Proceedings of the 12th eHealth Conference, eHealth 2018, Vienna, Austria, pp. 132-139. 2018. download
  60. S. P. Erdeniz, and A. Felfernig. CLUSTER AND LEARN: Cluster-Specific Heuristics for Graph Coloring. In Proceedings of 12th International Conference on the Practice and Theory of Automated Timetabling (PATAT’18), Vienna, Austriapp. 401-404. 2018. download
  61. M. Atas, A. Felfernig, M. Stettinger, and TNT. Tran. Beyond Item Recommendation: Using Recommendations to Stimulate Information Exchange in Group Decisions.  In: Ciampaglia G., Mashhadi A., Yasseri T. (eds) Social Informatics. 9th International Conference on Social Informatics (SocInfo 2017), Oxford, UK. Lecture Notes in Computer Science, vol 10540, pp. 368-377. Springer. 2017download
  62. A. Shehadeh, A. Felfernig, M. Jeran, M. Stettinger, and S. Reiterer. Knowledge-based Learning Content Generation in the StudyBattles Environment. In The 29th International Conference on Software Engineering and Knowledge Engineering  (SEKE 2017), Wyndham Pittsburgh University Center, Pittsburgh, PA, USA, pp. 541-546. 2017download (SEKE 2017 Best Paper Award)
  63. S. Polat Erdeniz, A. Felfernig, M. Atas, TNT. Tran, M. Jeran, and M. Stettinger. Cluster-Specific Heuristics for Constraint Solving. In: Benferhat S., Tabia K., Ali M. (eds) Advances in Artificial Intelligence: From Theory to Practice. 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2017), Arras, France. Lecture Notes in Computer Science, vol 10350, pp. 21-30. Springer. 2017. download
  64. A. Felfernig, M. Atas, TNT. Tran, M. Stettinger, S. Polat-Erdeniz, and G. Leitner. An Analysis of Group Recommendation Heuristics for High- and Low-Involvement Items. In: Benferhat S., Tabia K., Ali M. (eds) Advances in Artificial Intelligence: From Theory to Practice. 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2017), Arras, France. Lecture Notes in Computer Science, vol 10350, pp. 335-344. Springer. 2017. download
  65. S. Shafiee, K. Kristjansdottir, L. Hvam, A. Felfernig, A. Myrodia. Analysis of Visual Representation Techniques for Product Configuration Systems. in Industrial Companies. In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, pp. 793-797. 2016. download
  66. M. Stettinger, A. Felfernig, G. Leitner, and S. Reiterer. Counteracting Anchoring Effects in Group Decision Making. In: Ricci F., Bontcheva K., Conlan O., Lawless S. (eds) User Modeling, Adaptation, and Personalization. 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015). Lecture Notes in Computer Science, vol 9146, pp. 118-130. Springer. 2015. download (UMAP Best Papers 2015)
  67. M. Stettinger, A. Felfernig, G. Leitner, S. Reiterer, and M. Jeran. Counteracting Serial Position Effects in the CHOICLA Group Decision Support Environment. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI ’15), Atlanta, Georgia, USA. Association for Computing Machinery, New York, NY, USA, 148–157. 2015. download
  68. F. Wotawa, F. Reinfrank, G. Ninaus, and A. Felfernig. ICone: Intelligent Environment for the Development and Maintenance of Configuration Knowledge Bases. In Proceedings of the 2015 International Conference on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization – Volume 1440 (CPCR+ITWP’15). CEUR-WS.org, Aachen, DEU, pp. 30–31. 2015. download
  69. F. Wotawa, M. Stettinger, F. Reinfrank, G. Ninaus, and A. Felfernig. Conflict Management for Constraint-based Recommendation. In Proceedings of the 2015 International Conference on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization – Volume 1440 (CPCR+ITWP’15). CEUR-WS.org, Aachen, DEU, pp. 1–7. 2015. download
  70. G. Ninaus, A. Felfernig, M. Stettinger, S. Reiterer, G. Leitner, L. Weninger, and W. Schanil. INTELLIREQ: Intelligent Techniques for Software Requirements Engineering. In Proceedings of the Twenty-first European Conference on Artificial Intelligence (ECAI’14), Prestigious Applications of Intelligent Systems (PAIS). IOS Press, NLD, pp. 1161–1166. 2014. download
  71. A. Felfernig, M. Schubert, and S. Reiterer. Personalized Diagnosis for Over-Constrained Problems. In Proceedings of the Twenty-Third international joint conference on Artificial Intelligence (IJCAI ’13), Peking, China. AAAI Press, pp. 1990–1996. 2013 download
  72. P. Grasch, A. Felfernig, and F. Reinfrank. ReComment: Towards Critiquing-based Recommendation with Speech Interaction. In Proceedings of the 7th ACM conference on Recommender systems (RecSys ’13), Hong Kong, China. Association for Computing Machinery, New York, NY, USA, pp. 157–164. 2013. download
  73. D. Benavides, A. Felfernig, J. Galindo, and F. Reinfrank. Automated Analysis in Feature Modeling and Product Configuration. In: Favaro J., Morisio M. (eds) Safe and Secure Software Reuse. 13th International Conference on Software Reuse (ICSR 2013), Pisa, Italy. Lecture Notes in Computer Science, vol 7925, pp. 160-175. Springer, Berlin, Heidelberg. 2013. download
  74. G. Leitner, A.J. Fercher, A. Felfernig, M. Hitz. Reducing the Entry Threshold of AAL Systems: Preliminary Results from Casa Vecchia. In: Miesenberger K., Karshmer A., Penaz P., Zagler W. (eds) Computers Helping People with Special Needs. 13th International Conference on Computers Helping People with Special Needs (ICCHP 2012), Linz, Austria. Lecture Notes in Computer Science, vol 7382, pp. 709-715. Springer, Berlin, Heidelberg. 2012. download
  75. M. Mandl and A. Felfernig. Improving the Performance of Unit Critiquing. In: Masthoff J., Mobasher B., Desmarais M.C., Nkambou R. (eds) User Modeling, Adaptation, and Personalization. 20th International Conference on User Modeling, Adaptation, and Personalization (UMAP 2012), Montreal, Canada. Lecture Notes in Computer Science, vol 7379, pp. 176-187. Springer, Berlin, Heidelberg. 2012. download
  76. I. Pribik and A. Felfernig. Towards Persuasive Technologies for Software Development Environments. In: Bang M., Ragnemalm E.L. (eds) Persuasive Technology. Design for Health and Safety. 7th International Conference on Persuasive Technology (PERSUASIVE 2012), Linköpring, Sweden. Lecture Notes in Computer Science, vol 7284, pp. 227-238. Springer, Berlin, Heidelberg. 2012. download
  77. A. Felfernig, F. Reinfrank, and G. Ninaus. Resolving Anomalies in Configuration Knowledge Bases. In: Chen L., Felfernig A., Liu J., Raś Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012, Macau, China. Lecture Notes in Computer Science, vol 7661, pp. 311-320. Springer, Berlin, Heidelberg. 2012. download
  78. G. Ninaus, A. Felfernig, and F. Reinfrank. Anonymous Preference Elicitation for Requirements Prioritization. In: Chen L., Felfernig A., Liu J., Raś Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012, Macau, China. Lecture Notes in Computer Science, vol 7661, pp. 349-356. Springer, Berlin, Heidelberg. 2012download
  79. A. Felfernig and L. Weninger. Improving Requirements Engineering using Group Decision Tools. In 11. Requirements Engineering Tagung, München, Germany. 2012.
  80. M. Mandl, A. Felfernig, and J. Tiihonen. Evaluating Design Alternatives for Feature Recommendations in Configuration Systems. In 2011 IEEE 13th Conference on Commerce and Enterprise Computing, Luxembourg-Kirchberg, Luxembourg, pp. 34-41. 2011. download
  81. M. Schubert and A. Felfernig. ReAction: Personalized Minimal Repair Adaptations for Customer Requests. In: Christiansen H., De Tré G., Yazici A., Zadrozny S., Andreasen T., Larsen H.L. (eds) Flexible Query Answering Systems. 9th International Conference on Flexible Query Answering Systems (FQAS 2011), Ghent, Belgium. Lecture Notes in Computer Science, vol 7022, pp. 13-24. Springer, Berlin, Heidelberg. 2011. download
  82. M. Mandl, A. Felfernig, J. Tiihonen, and K. Isak. Status Quo Bias in Configuration Systems. In: Mehrotra K.G., Mohan C.K., Oh J.C., Varshney P.K., Ali M. (eds) Modern Approaches in Applied Intelligence. 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), Syracuse, New York. Lecture Notes in Computer Science, vol 6703, pp. 105-114. Springer, Berlin, Heidelberg. 2011. download
  83. A. Felfernig, M. Schubert, M. Mandl, G. Friedrich, and E. Teppan. Efficient Explanations for Inconsistent Constraint Sets. In Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence, Lisbon, Portugal. IOS Press, NLD, 1043–1044. 2010. download
  84. E. Teppan, G. Friedrich, and A. Felfernig. Impacts of Decoy Effects on the Decision Making Ability. In 2010 IEEE 12th Conference on Commerce and Enterprise Computing (CEC’2010), Shanghai, China, pp. 112-119. 2010. download
  85. A. Felfernig, M. Mandl, J. Tiihonen, M. Schubert, and G. Leitner. Personalized User Interfaces for Product Configuration. In Proceedings of the 15th international conference on Intelligent user interfaces (IUI ’10), Hong Kong, China. Association for Computing Machinery, New York, NY, USA, pp. 317–320. 2010. download
  86. A. Felfernig, M. Mandl, A. Pum, and M. Schubert. Empirical Knowledge Engineering: Cognitive Aspects in the Development of Constraint-based Recommenders. In: García-Pedrajas N., Herrera F., Fyfe C., Benítez J.M., Ali M. (eds) Trends in Applied Intelligent Systems. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), Cordoba, Spain. Lecture Notes in Computer Science, vol 6096, pp. 631-640. Springer, Berlin, Heidelberg. 2010. download
  87. A. Felfernig, M. Mandl, S. Schippel, and M. Schubert. Adaptive Utility-based Recommendation. In: García-Pedrajas N., Herrera F., Fyfe C., Benítez J.M., Ali M. (eds) Trends in Applied Intelligent Systems. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), Cordoba, Spain. Lecture Notes in Computer Science, vol 6096, pp. 641-650. Springer, Berlin, Heidelberg. 2010. download (Best Papers Award)
  88. M. Schubert, A. Felfernig, and M. Mandl. FastXplain: Conflict Detection for Constraint-Based Recommendation Problems. In: García-Pedrajas N., Herrera F., Fyfe C., Benítez J.M., Ali M. (eds) Trends in Applied Intelligent Systems. 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), Cordoba, Spain. Lecture Notes in Computer Science, vol 6096, pp. 621-630. Springer, Berlin, Heidelberg. 2010. download
  89. A. Felfernig, M. Mandl, J. Tiihonen, and M. Schubert. Personalized Product Configuration. In M. Schumann, L.M. Kolbe, M.H. Breitner, A. Frerichs (eds.) Multikonferenz Wirtschaftsinformatik 2010 (MKWI 2010), Göttingen, pp. 2251-2263. 2010. download
  90. A. Felfernig, M. Mandl, and M. Schubert. Intelligent debugging of utility constraints in configuration knowledge bases. In: Fähnrich, K.-P. & Franczyk, B. (eds.) INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1. Bonn: Gesellschaft für Informatik e.V., Leipzig, pp. 767-772. 2010. download
  91. A. Felfernig, G. Friedrich, M. Schubert, M. Mandl, M. Mairitsch, and E. Teppan. Plausible Repairs for Inconsistent Requirements. In Proceedings of the 21st international joint conference on Artificial intelligence (IJCAI’09), Pasadena, California, USA. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 791–796. 2009. download
  92. E. Teppan and A. Felfernig. Minimization of Product Utility Estimation Errors in Recommender Result Set Evaluations. In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Milano, Italy, pp. 20-27. 2009. download
  93. M. Mandl, A. Felfernig, M. Schubert. Consumer Decision Making in Knowledge-based Recommendation. In: Liu J., Wu J., Yao Y., Nishida T. (eds) Active Media Technology. IEEE International Conference on Active Media Technology and Brain Informatics (AMT 2009), Peking, China. Lecture Notes in Computer Science, vol 5820, pp. 69-80. Springer, Berlin, Heidelberg. 2009. download
  94. E. Teppan and A. Felfernig. Asymmetric Dominance- and Compromise Effects in the Financial Services Domain. In 2009 IEEE Conference on Commerce and Enterprise Computing (CEC/EEE´2009), Vienna, Austria, pp. 57-64. 2009. download
  95. E. Teppan and A. Felfernig. The asymmetric dominance effect and its role in e-tourism recommender applications. In Business services : Konzepte, Technologien, Anwendungen ; Bd. 1. Internationale Tagung Wirtschaftsinformatik (WI’2009), Vienna, Austria. Austrian Computer Society (OCG), vol. 246, pp. 791-800. 2009.
  96. E. Teppan and A. Felfernig. Calculating Decoy Items in Utility-based Recommendation. In: Chien BC., Hong TP., Chen SM., Ali M. (eds) Next-Generation Applied Intelligence. IEA/AIE 2009, Tainan, Taiwan. Lecture Notes in Computer Science, vol 5579, pp. 183-192. Springer, Berlin, Heidelberg. 2009. download
  97. A. Felfernig, M. Mairitsch, M. Mandl, M. Schubert, and E. Teppan. Utility-based Repair of Inconsistent Requirements. In: Chien BC., Hong TP., Chen SM., Ali M. (eds) Next-Generation Applied Intelligence. IEA/AIE 2009, Tainan, Taiwan. Lecture Notes in Computer Science, vol 5579, pp. 162-171. Springer, Berlin, Heidelberg. 2009. download
  98. M. Schubert, A. Felfernig, and M. Mandl. Solving Over-Constrained Problems using Network Analysis. In 2009 International Conference on Adaptive and Intelligent Systems, Klagenfurt, Austria, pp. 9-14. 2009download
  99. A. Felfernig and R. Burke. Constraint-based Recommender Systems: Technologies and Research Issues. In Proceedings of the 10th international conference on Electronic commerce (ICEC ’08), Innsbruck, Austria. Association for Computing Machinery, New York, NY, USA, Article 3, pp. 17-26. 2008. download
  100. A. Felfernig, G. Friedrich, E. Teppan, K. Isak. Intelligent Debugging and Repair of Utility Constraint Sets in Knowledge-based Recommender Applications. In Proceedings of the 13th international conference on Intelligent user interfaces (IUI ’08), Canary Islands, Spain. Association for Computing Machinery, New York, NY, USA, 217–226. 2008. download
  101. A. Felfernig, B. Gula, G. Leitner, M. Maier, R. Melcher, S. Schippel, E. Teppan. A Dominance Model for the Calculation of Decoy Products in Recommendation Environments. In AISB Symposium on Persuasive Technologies, Vol 3, pp. 43-50, Aberdeen, Scotland, Apr. 1-4, 2008. download
  102. A. Felfernig, E. Teppan, G. Leitner, R. Melcher, B. Gula, M. Maier. Persuasion in Knowledge-based Recommendation. In: Oinas-Kukkonen H., Hasle P., Harjumaa M., Segerståhl K., Øhrstrøm P. (eds) Persuasive Technology. The 2nd International Conference on Persuasive Technologies (PERSUASIVE 2008). Lecture Notes in Computer Science, vol 5033, pp. 71-82. Springer, Berlin, Heidelberg. 2008. download
  103. A. Felfernig, K. Isak, K. Szabo, P. Zachar. The VITA Financial Services Sales Support Environment. In Proceedings of the 19th national conference on Innovative applications of artificial intelligence – Volume 2 (AAAI/IAAI’07), Vancouver, Canada. AAAI Press, pp. 1692–1699. 2007download
  104. A. Felfernig, G. Friedrich, B. Gula, M. Hitz, T. Kruggel, R. Melcher, D. Riepan, S. Strauss, E. Teppan, and O. Vitouch. Persuasive Recommendation: Exploring Serial Position Effects in Knowledge-based Recommender Systems. In: de Kort Y., IJsselsteijn W., Midden C., Eggen B., Fogg B.J. (eds) Persuasive Technology. Second International Conference of Persuasive Technology (PERSUASIVE 2007). Lecture Notes in Computer Science, vol 4744, pp. 283-294. Springer, Berlin, Heidelberg. 2007. download
  105. A. Felfernig, G. Leitner, S. Strauß, E. Teppan, B. Gula, O. Vitouch, R. Melcher. Reihenfolgeeffekte bei Produktattributen – Eine Pilotstudie zur Untersuchung von Reihenfolgeeffekten im Kontext von Recommender Systemen. 49 Tagung experimentell arbeitender Psychologen (TeaP), Trier, Mar. 26 – 28, 2007.
  106. A. Felfernig and K. Shchekotykhin. Debugging User Interface Descriptions of Knowledge-based Recommender Applications. In Proceedings of the 11th international conference on Intelligent user interfaces (IUI ’06), Sydney, Australia. Association for Computing Machinery, New York, NY, USA, pp. 234–241. 2006download
  107. A. Felfernig and B. Gula. An Empirical Study on Consumer Behavior in the Interaction with Knowledge-based Recommender Applications. In The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE’06), San Francisco, CA, USA, pp. 37-37. 2006 download (selected best papers)
  108. A. Felfernig. Diagnosing Faulty Transitions in Recommender User Interface Descriptions. In: Ali M., Dapoigny R. (eds) Advances in Applied Artificial Intelligence. 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2006), Annecy, France. Lecture Notes in Computer Science, vol 4031, pp. 869–878. Springer, Berlin, Heidelberg. 2006. download
  109. A. Felfernig, K. Isak, and C. Russ. Knowledge-based Recommendation: Technologies and Experiences from Projects. In Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 — September 1, 2006, Riva del Garda, Italy. IOS Press, NLD, 632–636. 2006. download
  110. A. Felfernig and M. Stumptner. Automated Testing of Knowledge-based Recommender Applications. In T. Blecker, G. Friedrich, L. Hvam, and K. Edwards (eds.) Customer Interaction and Customer Integration. International Mass Customization Meeting (IMCM’06), Hamburg, Germany. Gito Verlag, vol. 2, pp. 105–114. 2006. download
  111. A. Felfernig and S. Gordea. AI Technologies supporting effective development processes for knowledge-based recommender applications. In Proceedings of 17th International Conference on Software Engineering and Knowledge Engineering (SEKE’2005), Taipei, Taiwan, pp. 372–379. 2005.
  112. A. Felfernig and A. Kiener. Knowledge-based Interactive Selling of Financial Services with FSAdvisor. In Proceedings of the 17th conference on Innovative applications of artificial intelligence – Volume 3 (IAAI’05), Pittsburgh, Pennsylvania. AAAI Press, pp. 1475–1482. 2005download
  113. A. Felfernig. Koba4MS: Selling Complex Products and Services Using Knowledge-Based Recommender Technologies. In Seventh IEEE International Conference on E-Commerce Technology (CEC’05), Munich, Germany, pp. 92-100. 2005download
  114. A. Felfernig, T. Jost, and C. Russ. Selling Financial Services using Knowledge-based Recommenders. In T. Bleckerand G. Friedrich (eds.) Mass Customization: Concepts – Tools – Realization. Proceedings of the International Mass Customization Meeting (IMCM2005),  Klagenfurt, Austria. GITO Verlag, pp. 345–362. 2005. download
  115. A. Felfernig, D. Stoefler, C. Russ, and M. Zanker. Using Knowledge-based Advisor Technology for Improved Customer Satisfaction in the Shoe Industry. In International Conference on Economic, Technical and organisational aspects of Product Configuration Systems, Kopenhagen, Denmark, pp. 20–22. 2004. download
  116. A. Felfernig and A. Salbrechter. Applying Function Point Analysis to Effort Estimation in Configurator Development. In International Conference on Economic, Technical and organisational aspects of Product Configuration Systems, Kopenhagen, Denmark, pp. 109–119. 2004. download
  117. A. Felfernig. Effort Estimation for Knowledge-based Configuration Systems. In 16th International Conference on Software Engineering and Knowledge Engineering (SEKE2004), Banff, Canada, pp. 148–155. 2004download
  118. A. Felfernig, C. Russ, and M. Wundara. Toolkits supporting Open Innovation in E-Government. In I. Seruca, U. Filipe, S. Hammoudi, and J. Cordeiro, (eds.) Proceedings of the Sixth International Conference on Enterprise Information Systems (ICEIS2004), Porto, Portugal. INSTICC Press, vol. 4, pp. 296-302. 2004. download
  119. A. Felfernig, G. Friedrich, D. Jannach, C. Russ, and M. Zanker. Developing Constraint-based Applications with Spreadsheets. In: Chung P.W.H., Hinde C., Ali M. (eds) Developments in Applied Artificial Intelligence. 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence (IEA/AIE 2003), Loughborough, UK. Lecture Notes in Computer Science, vol 2718, pp. 197–207. Springer, Berlin, Heidelberg. 2003. download
  120. L. Ardissono, A. Felfernig, D. Jannach, G. Friedrich, R. Schaefer, and M. Zanker. A Framework for Rapid Development of Advanced Web-based Configurator Applications. In F. v. Harmelen (ed.) Proceedings of the 15th European Conference on Artificial Intelligence (ECAI’02) – Prestigious Applications of Intelligent Systems (PAIS), Lyon, France. IOS Press, NLD, pp. 618–622. 2002download
  121. A. Felfernig, G. Friedrich, D. Jannach, M. Stumptner, and M. Zanker. Acquiring Configuration Knowledge Bases in the Semantic Web. In: Gómez-Pérez A., Benjamins V.R. (eds) Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2002), Siguenza, Spain. Lecture Notes in Computer Science, vol 2473, pp. 352–357. Springer, Berlin, Heidelberg. 2002download
  122. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Configuration Knowledge Representation using UML/OCL.  In: Jézéquel JM., Hussmann H., Cook S. (eds) ≪UML≫ 2002 — The Unified Modeling Language. 5th International Conference on the Unified Modeling Language (UML 2002), Dresden, Germany. Lecture Notes in Computer Science, vol 2460, pp. 49–62. Springer, Berlin, Heidelberg. 2002download
  123. A. Felfernig, G. Friedrich, D. Jannach, M. Zanker, and R. Schaefer. Knowledge Acquisition for building and integrating product configurators. In: Camarinha-Matos L.M. (eds) Collaborative Business Ecosystems and Virtual Enterprises. 3rd IFIP Working Conference on Infrastructures for virtual enterprises (PRO-VE 2002), Sesimbra, Portugal. IFIP — The International Federation for Information Processing, vol 85, pp. 193–200. Springer, Boston, MA. 2002. download
  124. A. Felfernig, G. Friedrich, D. Jannach, C. Russ, and M. Zanker. Multisite product configuration of telecommunication switches. In 20th International Conference on Applied Informatics, Innsbruck, Austria. ACTA Press, pp. 113–118. 2002. download
  125. L. Ardissono, A. Felfernig, G. Friedrich, A. Goy, D. Jannach, M. Meyer, G. Petrone, R. Schaefer, W. Schuetz, and M. Zanker. Personalizing online configuration of products and services. In Proceedings of the 15th European Conference on Artificial Intelligence (ECAI’02), Lyon, France. IOS Press, NLD, pp. 225–229. 2002download
  126. A. Felfernig, G. Friedrich, D. Jannach, M. Zanker. Semantic Configuration Web Services in the CAWICOMS project. In: Horrocks I., Hendler J. (eds) The Semantic Web — ISWC 2002. 1st International Semantic Web Conference (ISWC02), Sardinia, Italy. Lecture Notes in Computer Science, vol 2342, pp. 192–205. Springer, Berlin, Heidelberg. 2002download
  127. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Web-based configuration of Virtual Private Networks with Multiple Suppliers.  In: Gero J.S. (eds) Artificial Intelligence in Design ’02. 7th Internation Conference on Artificial Intelligence in Design (AID02), Cambridge, UK. Springer, Dordrecht, pp. 41–62. 2002. download
  128. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Distributed Configuration as Distributed Dynamic Constraint Satisfaction.  In: Monostori L., Váncza J., Ali M. (eds) Engineering of Intelligent Systems. 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2001), Budapest, Hungary. Lecture Notes in Computer Science, vol 2070, pp. 434–444. Springer, Berlin, Heidelberg. 2001download
  129. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Hierarchical Diagnosis of large configurator knowledge bases. In: Baader F., Brewka G., Eiter T. (eds) KI 2001: Advances in Artificial Intelligence. (24th/9th) German/Austrian Conference on Artificial Intelligence (KI2001), Vienna, Austria. Lecture Notes in Computer Science, vol 2174, pp. 185–197. Springer, Berlin, Heidelberg. 2001. download
  130. L. Ardissono, A. Felfernig, G. Friedrich, D. Jannach, R. Schaefer, and M. Zanker. Intelligent Interfaces for Distributed Web-based Product and Service Configuration. In: Zhong N., Yao Y., Liu J., Ohsuga S. (eds) Web Intelligence: Research and Development. International Conference on Web Intelligence (WI2001), Maebashi City, Japan. Lecture Notes in Computer Science, vol 2198, pp. 184–188. Springer, Berlin, Heidelberg. 2001. download
  131. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Intelligent support for interactive configuration of mass-customized products. In: Monostori L., Váncza J., Ali M. (eds) Engineering of Intelligent Systems. 14thInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2001), Budapest, Hungary. Lecture Notes in Computer Science, vol 2070, pp. 746–756. Springer, Berlin, Heidelberg. 2001. download
  132. L. Ardissono, A. F. G. Friedrich, D. Jannach, R. Schaefer, and M. Zanker. The CAWICOMS Project. In P. Horster (ed.) Arbeitskonferenz Elektronische Geschäftsprozesse. eBusiness Processes (EBP2001), University Klagenfurt, Austria. it Verlag, pp. 193–204. 2001. download
  133. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Towards Distributed Configuration. In: Baader F., Brewka G., Eiter T. (eds) KI 2001: Advances in Artificial Intelligence. (24th/9th) German/Austrian Conference on Artificial Intelligence (KI2001), Vienna, Austria. Lecture Notes in Computer Science, vol 2174, pp. 198–212. Springer, Berlin, Heidelberg. 2001. download
  134. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. A Framework for the Development of cooperative Configuration Agents.  In: Logananthara R., Palm G., Ali M. (eds) Intelligent Problem Solving. Methodologies and Approaches. 13thInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2000), New Orleans, Louisiana, USA. Lecture Notes in Computer Science, vol 1821, pp. 24–33. Springer, Berlin, Heidelberg. 2000. download
  135. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Cooperative Configuration Agents supporting Supply Chain Integration of Configurable Products. In Proceedings Fourth International Conference on MultiAgent Systems, Boston, MA, USA, pp. 385-386. 2000. download
  136. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. An Integrated Development Environment for the Design and Maintenance of Large Configuration Knowledge Bases. In: Gero J.S. (eds) Artificial Intelligence in Design ’00. 6th International Conference on Artificial Intelligence in Design (AID00), Worcester, MA, USA. Springer, Dordrecht. 2000download
  137. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Consistency-based diagnosis of configuration knowledge bases. In Proceedings of the 14th European Conference on Artificial Intelligence (ECAI’00), Berlin, Germany. IOS Press, NLD, pp. 146–150. 2000download
  138. A. Felfernig, D. Jannach, and M. Zanker. Contextual Diagrams as structuring mechanisms for designing configuration knowledge bases in UML. In: Evans A., Kent S., Selic B. (eds) ≪UML≫ 2000 — The Unified Modeling Language. 3rd International Conference on the Unified Modeling Language (UML2000), York, UK. Lecture Notes in Computer Science, vol 1939, pp. 240–254. Springer, Berlin, Heidelberg. 2000download
  139. A. Felfernig and M. Zanker. Diagrammatic Acquisition of Functional Knowledge for Product Configuration Systems with the Unified Modeling Language. In: Anderson M., Cheng P., Haarslev V. (eds) Theory and Application of Diagrams. 1st International Conference on the Theory and Application of Diagrams (Diagrams 2000), Edinburgh, Scotland. Lecture Notes in Computer Science, vol 1889, pp. 361–375. Springer, Berlin, Heidelberg. 2000download
  140. A. Felfernig, G. Friedrich, and D. Jannach. Generating Product Configuration Knowledge Bases from Precise Domain Extended UML Models. In D. Cooke (ed.) 12th International Conference on Software Engineering and Knowledge Engineering (SEKE00), Chicago, USA, pp. 284–293. 2000. download
  141. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Integrating Knowledge-based Configuration Systems by Sharing Functional Architectures. In: Dieng R., Corby O. (eds) Knowledge Engineering and Knowledge Management Methods, Models, and Tools. 12th International Conference on Knowledge Engineering and Knowledge Management (EKAW2000). Lecture Notes in Computer Science, vol 1937, pp. 312–327. Springer, Berlin, Heidelberg. 2000download
  142. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Knowledge Base Construction for Product configuration Systems using Executable standard Design Descriptions. In World Manufacturing Congress (WMC1999), pp. 274–281. 1999. download
  143. A. Felfernig and A. Erkollar. UML as domain specific language for the construction and maintenance of simulation models. In G. Horton, D. Moeller, and U. Ruede (eds.) Simulation in Industry 1999, 11th European Simulation Symposium 1999, Erlangen, Germany. SCS, pp. 31–35. 1999.
  144. A. Felfernig, G. Friedrich, and D. Jannach. UML as domain specific language for the construction of knowledge-based configuration systems. In 11th International Conference on Software Engineering and Knowledge Engineering (SEKE99), ser. Lecture Notes in Computer Science, G. Ruhe and F. Bomarius, Eds., vol. 1756. Kaiserslautern, Germany: Springer, pp. 337–345. 1999download

Habilitationsschrift (Habilitation)

  1. A. Felfernig, Knowledge Engineering for Complex Products and Services, Habilitationsschrift, University Klagenfurt, Klagenfurt, Austria, 2007.

Workshop Papers

  1. S. Lubos, S. Polat Erdeniz, T. N. T. Tran, A. Felfernig, I. Adıyaman, A. Gür, and T. Ince. DaLimeLlama: A Persuasive XAI Framework For Learning-to-Rank Product Recommenders. In 1st Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommender Systems (ROEGEN@RecSys 2024), Bari, Italy2024. to appear [PDF]
  2. P. Knežević, A. Felfernig, S. Lubos. Integrating the Mechanisms of Critiquing-based Recommendation into Constraint Solving. In 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’24 Workshop @ RecSys 2024), Bari, Italy. 2024. Open Access logo PLoS transparent.svg [CEUR]
  3. S. Lubos, A. Felfernig, L. Hotz, T.N.T. Tran, S. Polat-Erdeniz, V.M. Le, D. Garber, and M. El-Mansi. Responsible Configuration Using LLM-based Sustainability-Aware Explanations. In 26th International Workshop on Configuration (ConfWS 2023), Girona, Spain. 2024. Open Access logo PLoS transparent.svg [CEUR]
  4. M. Uta, V.M. Le, A. Felfernig, D. Garber, G. Schenner, and T.N.T. Tran. Semantics-Preserving Merging of Feature Models. In 26th International Workshop on Configuration (ConfWS 2023), Girona, Spain. 2024. Open Access logo PLoS transparent.svg [CEUR]
  5. D. Garber, A. Felfernig, V.M. Le, T. Burgstaller, and M. El-Mansi. An extensive comparison of preprocessing methods in the context of configuration space learning. In 26th International Workshop on Configuration (ConfWS 2023), Girona, Spain. 2024. Open Access logo PLoS transparent.svg [CEUR]
  6. L. Hotz, C. Bähnisch, S. Lubos, A. Felfernig, A. Haag, and J. Twiefel. Exploiting Large Language Models for the Automated Generation of Constraint Satisfaction Problems. In 26th International Workshop on Configuration (ConfWS 2023), Girona, Spain. 2024. Open Access logo PLoS transparent.svg [CEUR]
  7. S. Lubos, T.N.T. Tran, A. Felfernig, S.P. Erdeniz, and V.M. Le. LLM-generated Explanations for Recommender Systems. In Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24). Cagliari, Sardinia, Italy. 2024. Open Access logo PLoS transparent.svg [ACM]
  8. S.P. Erdeniz, T.N.T. Tran, A. Felfernig, D. Kramer, M. Schrempf, and P. Rainer. Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. Workshop on Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM 2023), in conjunction with the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023), Istanbul, Turkey. 2023. [IEEE]
  9. S. Lubos, T.N.T. Tran, S.P. Erdeniz, M.E. Mansi, A. Felfernig, M. Wundara, G. Leitner. Concentrating on Impact: Consequence-based Explanations in Recommender Systems. In 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’23), co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore. 2023. Open Access logo PLoS transparent.svg [CEUR] [arXiv]
  10. A. Hofbauer, A. Felfernig. Game-based Configuration Task Learning with ConGuess: An Initial Empirical Analysis. In 25th International Workshop on Configuration (ConfWS 2023), Malaga, Spain. 2023. Open Access logo PLoS transparent.svg [CEUR]
  11. B. Ritz, A. Felfernig, V.M. Le, S. Lubos. Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver. In 25th International Workshop on Configuration (ConfWS 2023), Malaga, Spain. 2023. Open Access logo PLoS transparent.svg [CEUR]
  12. A. Felfernig, V.M. Le, A. Haag, S. Lubos. Solving Constraint Satisfaction Problems with Database Queries. In 25th International Workshop on Configuration (ConfWS 2023), Malaga, Spain. 2023. Open Access logo PLoS transparent.svg [CEUR]
  13. D. Garber, T. Burgstaller, A. Felfernig, V.M. Le, S. Lubos, T.N.T. Tran, S. Polat-Erdeniz. Collaborative Recommendation of Search Heuristics. In 25th International Workshop on Configuration (ConfWS 2023), Malaga, Spain. 2023. Open Access logo PLoS transparent.svg [CEUR]
  14. S. Lubos, A. Felfernig, V.M. Le. Specifying Configurable Videos with Feature Models. In 25th International Workshop on Configuration (ConfWS 2023), Malaga, Spain. 2023. Open Access logo PLoS transparent.svg [CEUR]
  15. J.A. Galindo, J.M. Horcas, A. Felfernig, D. Fernandez-Amoros, D. Benavides. FLAMA: A collaborative effort to build a new framework for the automated analysis of feature models. In Proceedings of the 27th ACM International Systems and Software Product Line Conference – Volume B (SPLC’23), Tokyo, Japan. 2023. [ACM]
  16. B. Gjergjizi, T.N.T. Tran, A. Felfernig. The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis. In Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2022), Hybrid Event, Seattle, US. 2022download
  17. S. Lubos, M. Tautschnig, A. Felfernig, and V.M. Le. Knowledge-based Configuration of Videos Using Feature Models. In Proceedings of the 26th ACM International Systems and Software Product Line Conference – Volume B (SPLC’22), Graz, Austria2022. download
  18. A. Hofbauer and A. Felfernig. ConGuess: a learning environment for configuration tasks. In Proceedings of the 26th ACM International Systems and Software Product Line Conference – Volume B (SPLC ’22), Graz, Austria. 2022. download
  19. V.M. Le, T.N.T. Trang, and A. Felfernig. Consistency-based Integration of Multi-Stakeholder Recommender Systems With Feature Model Configuration. In 26th ACM International Systems and Software Product Line Conference – Volume B (SPLC’22), Graz, Austria2022. download
  20. A. Felfernig, B. Ortner, and V.M. Le. Table-based Knowledge Representations for Industrial Feature Models. In 26th ACM International Systems and Software Product Line Conference – Volume B (SPLC’22), Graz, Austria2022. download
  21. V.M. Le, A. Felfernig, and T.N.T. Tran. Test Case Aggregation for Efficient Feature Model Testing. In 26th ACM International Systems and Software Product Line Conference – Volume B (SPLC’22), Graz, Austria2022. download
  22. T.N.T. Tran, C.I. Baumann, A. Felfernig, and V.M. Le. The Immunity of Users’ Item Selection from Serial Position Effects in Multi-Attribute Item Recommendation Scenarios. In Proceedings of RecSys’21 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21), Amsterdam, Netherlands, pp. 101-111. 2021. download
  23. M. Uta, A. Felfernig, and D. Helic. Constraint-Aware Recommendation of Complex Items. In Proceedings of RecSys’21 Joint Workshop on 3rd Knowledge-aware and Conversational Recommender Systems (KaRS’21), Amsterdam, Netherlands, 2021. download
  24. S.P. Erdeniz, and A. Popescu. Comparing Genetic Algorithms and Matrix Factorization for Learning Heuristics in Constraint Solving. In Proceedings of the 23rd International Configuration Workshop, Vienna, Austria, pp. 21-23. 2021download
  25. A. Felfernig, A. Popescu, M. Uta, V.M. Le, S.P. Erdeniz, M. Stettinger, M. Atas, and T.N.T. Tran. Configuring Multiple Instances with Multi-Configuration. In Proceedings of the 23rd International Configuration Workshop, Vienna, Austria, pp. 45-47. 2021download
  26. R. Tieber, and A. Felfernig. A Knowledge-based Configurator for Building Magic: The Gathering Card Decks. In Proceedings of the 23rd International Configuration Workshop, Vienna, Austria, pp. 55-57. 2021download
  27. V.M. Le, T.N.T. Tran, M. Stettinger, L. Weißl, A. Felfernig, M. Atas, S.P. Erdeniz, and A. Popescu. Counteracting Exam Cheating by Leveraging Configuration and Recommendation Techniques. In Proceedings of the 23rd International Configuration Workshop, Vienna, Austria, pp. 73-80. 2021. download
  28. R. Samer, M. Stettinger, A. Felfernig, M. Atas, R. Zupan and M. Henrich. Predicting Answers in Preference Elicitation Dialogs. In Proceedings of the 23rd International Configuration Workshop, Vienna, Austria, pp. 48-54. 2021download
  29. A. Felfernig, V.M. Le, and T.N.T Tran. Supporting Feature Model-Based Configuration in Microsoft Excel. In Proceedings of the 22nd International Configuration Workshop, Vicenza, Italy, pp. 35-38. 2020. download
  30. M. Uta and A. Felfernig. Towards machine learning based configuration. In Proceedings of the 22nd International Configuration Workshop, Vicenza, Italy, pp. 25-28. 2020. download
  31. M. Uta, A. Felfernig, G. Schenner, and J. Spöcklberger. Consistency-based Merging of Variability Models. In Proceedings of the 21st International Configuration Workshop, Hamburg, Germany, pp. 9-12. 2019. download
  32. A. Felfernig, M. Stettinger, and R. Samer. Decision Biases in Preference Acquisition. In Proceedings of the 21st International Configuration Workshop, Hamburg, Germany, pp. 20-21. 2019download
  33. A. Felfernig, J. Spöcklberger, R. Samer, M. Stettinger, M. Atas, J. Tiihonen, and M. Raatikainen. Configuring Release Plans. In Proceedings of the 20th International Configuration Workshop, Graz, Austria, pp. 9-14. 2018. download
  34. R. Samer, M. Atas, A. Felfernig, M. Stettinger, A. Falkner, and G. Schenner. Group Decision Support for Requirements Management Processes. In Proceedings of the 20th International Configuration Workshop, Graz, Austria, pp. 19-24. 2018. download
  35. S. Shafiee, A. Felfernig, L. Hvam, Poorang Piroozfar, and C. Forza. Cost Benefit Analysis in Product Configuration Systems. In Proceedings of the 20th International Configuration Workshop, Graz, Austria, pp. 37-40. 2018. download
  36. J. Tiihonen, I. Raitahila, M. Raatikainen, A. Felfernig, and T. Männistö. Generating Configuration Models from Requirements to Assist in Product Management – Dependency Engine and its Performance Assessment. In Proceedings of the 20th International Configuration Workshop, Graz, Austria, pp. 69-76. 2018. download
  37. M. Atas, T. Tran, R. Samer, A. Felfernig, and M. Stettinger. Liquid Democracy in Group-based Configuration. In Proceedings of the 20th International Configuration Workshop, Graz, Austria, pp. 93-98. 2018. download
  38. M. Uta and A. Felfernig. Towards Knowledge Infrastructure for Highly Variant Voltage Transmission Systems. In Proceedings of the 20th International Configuration Workshop, Graz, Austria, pp. 109-118, 2018. download
  39. S. Polat-Erdeniz, I. Maglogiannis, A. Menychtas, and A. Felfernig. Recommender Systems for IoT Enabled m-Health Applications. In: Iliadis L., Maglogiannis I., Plagianakos V. (eds) Artificial Intelligence Applications and Innovations. AIAI 2018, IFIP, WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece. IFIP Advances in Information and Communication Technology, vol 520, pp. 227-237. Springer. 2018download
  40. A. Felfernig, M. Stettinger, A. Falkner, M. Atas, X. Franch, and C. Palomares. OpenReq: Recommender Systems in Requirements Engineering. In the 2nd Workshop on Recommender Systems and Big Data Analytics (RS-BDA’17), Graz, Austria, pp. 1-4, 2017. download
  41. M. Atas, A. Felfernig, S. Polat-Erdeniz, S. Reiterer, A. Shehadeh, and T. Tran. Cluster-based Constraint Ordering for Direct Diagnosis. In Proceedings of the 19th International Configuration Workshop, Paris, France, pp. 68-71. 2017. download
  42. A. Felfernig, A. Falkner, M. Atas, S. Polat-Erdeniz, C. Uran, and P. Azzoni. ASP-based Knowledge Representations or IoT Configuration Scenarios. In Proceedings of the 19th International Configuration Workshop, Paris, France, pp. 62-67, 2017. download
  43. A. Shehadeh, A. Felfernig, and M. Atas. Automated Question Generation from Configuration Knowledge Bases. In Proceedings of the 19th International Configuration Workshop, Paris, France, pp. 54-61. 2017. download
  44. A. Felfernig, S.P. Erdeniz, M. Jeran, and A. Akcay. Recommendation Technologies for IoT Edge Devices. In E. Shakshuki, A. Yasar (eds.) Procedia Computer Science. The Third International Workshop on Internet of Things: Networking Applications and Technologies (IoTNAT 2017), Leuven, Belgium, pp. 504-509. 2017. download
  45. T. Tran, M. Atas, M. Stettinger, and A. Felfernig. An extension of CHOICLA User Interfaces for Configurable Products. In the 2nd Workshop on Recommender Systems and Big Data Analytics (RS-BDA’16), Graz, Austria, pp. 1-4. 2016. download
  46. A. Felfernig, M. Atas, T. Tran, and M. Stettinger. Towards Group-based Configuration. In Proceedings of the 18th International Configuration Workshop, Toulouse, France,  pp. 69-72, 2016download (ConfWS’16 – runner-up best paper)
  47. A. Felfernig, A. Shehadeh, M. Jeran, C. Gütl, T. Tran, M. Atas, S. Polat Eredeniz, M. Stettinger, A. Akcay, and S. Reiterer. StudyBattles: A Learning Environment for Knowledge-based Configuration. In Proceedings of the 18th International Configuration Workshop, Toulouse, France, pp. 109-116. 2016. download
  48. A. Felfernig, S. Polat Erdeniz, P. Azzoni, M. Jeran, A. Akcay, and C. Doukas. Towards Configuration Technologies for IoT Gateways. In Proceedings of the 18th International Configuration Workshop, Toulouse, France, pp. 73-76. 2016. download
  49. G. Leitner, A. Fercher, A. Felfernig, K. Isak, S. Polat Erdeniz, A. Akcay, and M. Jeran. Recommending and Configuring Smart Home Installations. In Proceedings of the 18th International Configuration Workshop, Toulouse, France, pp. 17-22. 2016. download
  50. A. Felfernig. Application of Constraint-based Technologies in Financial Services Recommendation. In Proceedings of 2nd International Workshop on Personalization and Recommender Systems in Financial Services (FinRec 2016), Bari, Italy, pp. 22-23. 2016. download
  51. A. Felfernig, M. Stettinger, and G. Leitner. Fostering Knowledge Exchange using Group Recommendations. In ACM RecSys’15 Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’15), Vienna, Austria, pp. 9-12. 2015. download
  52. A. Felfernig, T. Ulz, S. Haas, M. Schwarz, S. Reiterer, and M. Stettinger. PeopleViews: Human Computation for Constraint-based Recommendation. In ACM RecSys’15 Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec 2015), Vienna, Austria, pp. 1-6. 2015. download
  53. R. Walter, A. Felfernig, and W. Küchlin. Inverse QUICKXPLAIN vs. MAXSAT – A Comparison in Theory and Practice. In Proceedings of the 17th International Configuration Workshop, Vienna, Austria, pp. 97-104. 2015. download
  54. A. Felfernig, R. Walter, and S. Reiterer. FlexDiag: AnyTime Diagnosis for Reconfiguration. In Proceedings of the 17th International Configuration Workshop, Vienna, Austria, pp. 105-110. 2015. download
  55. A. Felfernig, M. Jeran, T. Ruprechter, A. Ziller, S. Reiterer, and M. Stettinger. Learning Games for Configuration and Diagnosis Tasks. In Proceedings of the 17th International Configuration Workshop, Vienna, Austria, pp. 111-114. 2015. download
  56. F. Reinfrank, G. Ninaus, F. Wotawa, and A. Felfernig. Maintaining constraint-based configuration systems: Challenges ahead. In Proceedings of the 17th International Configuration Workshop, Vienna, Austria, pp. 39-46. 2015. download
  57. F. Reinfrank, G. Ninaus, F. Wotawa, and A. Felfernig. Intelligent supporting techniques for the maintenance of constraint-based configuration systems. In Proceedings of the 17th International Configuration Workshop, Vienna, Austria, pp. 31-38. 2015download
  58. A. Felfernig and M. Stettinger. Conflict Management in Interactive Financial Service Selection. In Proceedings of 1st International Workshop on Personalization and Recommender Systems in Financial Services (FinRec’15), Graz, Austria, pp. 3-10. 2015. download
  59. A. Felfernig, M. Jeran, M. Stettinger, T. Absenger, T. Gruber, S. Haas, E. Kirchengast, M. Schwarz, L. Skofitsch, and T. Ulz. Human Computation Based Acquisition Of Financial Service Advisory Practices. In Proceedings of 1st International Workshop on Personalization and Recommender Systems in Financial Services (FinRec’15), Graz, Austria, pp. 27-34. 2015. download
  60. S. Reiterer, A. Felfernig, M. Stettinger, M. Wundara, and W. Eixelsberger. A Wiki-based Environment for Constraint-based Recommender Systems Applied in the E-Government Domain. In 3rd International Workshop on PErsonalization in eGOVernment and Smart Cities: Smart Services for Smart Territories (PEGOV2015), UMAP 2015, Dublin, pp. 1-10, 2015. 2015. download
  61. A. Felfernig, S. Reiterer, M. Stettinger, and J. Tiihonen. Towards Understanding Cognitive Aspects of Configuration Knowledge Formalization. In Proceedings of the Ninth International Workshop on Variability Modelling of Software-intensive Systems(VaMoS ’15), Hildesheim, Germany. Association for Computing Machinery, New York, NY, USA, pp. 117–123. 2015. download
  62. A. Felfernig, S. Reiterer, M. Stettinger, and J. Tiihonen. Intelligent Techniques for Configuration Knowledge Evolution. In Proceedings of the Ninth International Workshop on Variability Modelling of Software-intensive Systems(VaMoS ’15), Hildesheim, Germany. Association for Computing Machinery, New York, NY, USA, pp. 51-60. 2015. download
  63. A. Felfernig. Biases in Decision Making. In Proceedings of the International Workshop on Decision Making and Recommender Systems 2014, Bolzano, Italy, pp. 32-37, ISSN 1613-0073, CEUR Proceedings, Vol 1278, 2014. download
  64. M. Stettinger and A. Felfernig. Choicla: An Intelligent Group Decision Support Environment. In Proceedings of the International Workshop on Decision Making and Recommender Systems 2014, Bolzano, Italy, pp. 1-3, ISSN 1613-0073, CEUR Proceedings, Vol 1278, 2014. download
  65. A. Felfernig, S. Haas, G. Ninaus, M. Schwarz, T. Ulz, M. Stettinger, K. Isak, M. Jeran, and S. Reiterer. RecTurk: Constraint-based Recommendation based on Human Computation. In ACM RecSys’2014 Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec 2014), Foster City, CA, USA, pp. 1-6, 2014. download
  66. M. Stettinger and A. Felfernig. Choicla: Intelligent Decision Support for Groups of Users in Context of Personnel Decisions. In ACM RecSys’14 Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’14), Foster City, CA, USA, pp. 28-32, 2014. download
  67. A. Felfernig, S. Reiterer, M. Stettinger, and M. Jeran. An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment. In the 25th International Workshop on Principles of Diagnosis, Graz, Austria, 2014. download
  68. W. Maalej, Z. Kurtanovic, and A. Felfernig. What Stakeholders Need to Know About Requirements. In 2014 IEEE 4th International Workshop on Empirical Requirements Engineering (EmpiRE), Karlskrona, Sweden, pp. 64-71. 2014. download
  69. G. Ninaus, F. Reinfrank, M. Stettinger, and A. Felfernig. Content-based Recommendation Techniques In Requirements Engineering. In 2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering (AIRE), Karlskrona, Sweden, pp. 27-34. 2014. download
  70. M. Stettinger, A. Felfernig, S. Reiterer, M. Jeran, G. Ninaus, and G. Leitner. Configuring Decision Tasks. In Proceedings of the 16th International Configuration Workshop, Novi Sad, pp. 17-21, 2014. download
  71. A. Felfernig, M. Stettinger, G. Ninaus, S. Reiterer, M. Jeran, A. Falkner, J. Tiihonen, and G. Leitner. Towards Open Configuration. In Proceedings of the 16th International Configuration Workshop, Novi Sad, pp. 89-94, 2014. download
  72. J. Tiihonen, T. Männistö, and A. Felfernig. Sales Configurator Information Systems Design Theory. In Proceedings of the 16th International Configuration Workshop, Novi Sad, pp. 67-74, 2014. download
  73. V. Myllärniemi, J. Tiihonen, M. Raatikainen, and A. Felfernig. Using Answer Set Programming for Feature Model Representation and Configuration. In Proceedings of the 16th International Configuration Workshop, Novi Sad, pp. 1-8, 2014. download
  74. A. Felfernig S, Reiterer, M. Stettinger, F. Reinfrank, M. Jeran, and G. Ninaus. Recommender Systems for Configuration Knowledge Engineering. In Proceedings of the 15th International Configuration Workshop, Vienna, Austria, pp. 51-54, 2013. download
  75. A. Felfernig, D. Benavides, J. Galindo, and F. Reinfrank. Towards Anomaly Explanation in Feature Models. In Proceedings of the 15th International Configuration Workshop, Vienna, Austria, pp. 117-124, 2013. download
  76. A. Felfernig and G. Ninaus. Group Recommendation Algorithms for Requirements Prioritization. In 2012 Third International Workshop on Recommendation Systems for Software Engineering (RSSE 2012), Zurich, Switzerland, pp. 59-62. 2012. download
  77. A. Felfernig, G. Ninaus, and F. Reinfrank. Eliciting Stakeholder Preferences for Requirements Prioritization. In RecSys 2012 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys’12), Dublin, Ireland, pp. 27-31, 2012. download
  78. A. Felfernig, C. Zehentner, and P. Blazek. COREDIAG: Eliminating Redundancy in Constraint Sets. In the 22nd International Workshop on Principles of Diagnosis, Murnau, Germany, pp. 219-224, 2011download
  79. A. Felfernig and M. Schubert. Personalized Diagnoses for Inconsistent Constraint Sets. In the 22nd International Workshop on Principles of Diagnosis, Murnau, Germany, pp. 146-153. 2011download
  80. A. Felfernig, C. Zehentner, and H. Grabner. Group Decision Support for Requirements Negotiation. In: Ardissono L., Kuflik T. (eds) Advances in User Modeling. UMAP 2011 Workshop on Decision Making and Recommendation Acceptance Issues in Recommender Systems (DEMRA’11), Girona, Spain. Lecture Notes in Computer Science, vol 7138, pp. 17-24. Springer, Berlin, Heidelberg. 2011. download
  81. A. Felfernig and E. Teppan. Decoy Effects in Financial Service E-Sales Systems. In RecSys’11 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys’11), Chicago, IL, pp. 1-8. 2011. download
  82. C. Stickel, A. Holzinger, and A. Felfernig. Measuring Emotions: Towards rapid and low cost methodologies. In RecSys’11 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys’11), Chicago, IL, 2011. download
  83. G. Leitner, F. Ferrara, A. Felfernig, and C. Tasso. Decision Support in the Smart Home. In RecSys’11 Workshop on Human Decision Making in Recommender Systems (Decisions@RecSys’11), short paper, Chicago, IL, 2011. download
  84. A. Felfernig and M. Schubert. A Diagnosis Algorithm for Inconsistent Constraint Sets. In 21st International Workshop on the Principles of Diagnosis, Portland, USA, pp. 31-38, 2010download
  85. S. Steinparz, A. Felfernig, I. Pribik, and G. Leitner. Towards Persuasive Technologies for Improved Software Quality. In UMAP 2010 Workshop on User Models for Motivational Systems, Big Island, Hawaii, 2010. download
  86. A. Felfernig, W. Maalej, M. Mandl, F. Ricci, and M. Schubert. Recommendation and Decision Technologies For Requirements Engineering. In Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering (RSSE ’10), ICSE 2010, Cape Town, South Africa. Association for Computing Machinery, New York, NY, USA, pp. 11–15. 2010. download
  87. A. Felfernig, M. Schubert, M. Mandl, and P. Ghirardini. Diagnosing Inconsistent Requirements Preferences in Distributed Software Projects. In Proceedings of the 3rd International Workshop on Social Software Engineering, Paderborn, Germany, pp. 495-502. 2010. download
  88. A. Felfernig and M. Schubert. Diagnosing Inconsistent Requirements. In Proceedings of ECAI 2010 Workshop on Configuration, Lisbon, Portugal, pp.15-20, 2010. download
  89. A. Felfernig, M. Schubert, G. Friedrich, M. Mairitsch, and M. Mandl. Personalized Diagnosis and Repair of Customer Requirements in Constraint-based Recommendation. In 18th International Workshop on the Principles of Diagnosis (DX’09), Stockholm, Sweden, 2009download
  90. J. Tiihonen and A. Felfernig. Towards Recommending Configurable Offerings. In ECAI 2008 Workshop on Configuration Systems, Patras, Greece, pp. 29–34. 2008. download
  91. A. Felfernig, G. Friedrich, E. Teppan. Automated Debugging and Repair of Utility Constraints in Recommender Knowledge Bases. In 18th International Workshop on the Principles of Diagnosis (DX’07), pp. 99-105, Nashville, Tennessee, 2007download
  92. A. Felfernig and B. Gula. Consumer Behavior in the Interaction with Knowledge-based Recommender Applications. In A. Felfernig and M. Zanker (eds.) Proceedings of the ECAI 2006 Workshop on Recommender Systems, Riva del Garda, Italy, pp. 1–5. 2006download
  93. A. Felfernig, C. Scheer, and P. Loos. How to recommend configurable products? In K. Sinz and A. Haag (eds.) Proceedings of the ECAI 2006 Workshop on Configuration, Riva del Garda, Italy, p. 51. 2006. download
  94. A. Felfernig. AI Technologies supporting Open Innovation in e-Government. In Proceedings of the Joint Workshop on Decision Support Systems, Experimental Economics, and e-Participation, Graz, Austria, p. 184. 2005.
  95. A. Felfernig and K. Shchekotykhin. Debugging User Interface Descriptions of Knowledge-based Recommenders. In A. Felfernig and D. Jannach (eds.) Configuration: Papers from the Configuration Workshop at IJCAI’05, Edinburgh, Scotland, pp. 13–18. 2005. download
  96. A. Felfernig and G. Kreutler. Knowledge Representations for the Interactive Selling of Financial Services. In F. Rabhi, D. Veit, and C. Weinhardt (eds.) Information Systems and E-Business Management. 2nd International Workshop on Enterprise, Applications, and Services in the Finance Industry, Regensburg, Germany, vol. 5, no. 2, pp. 143-166. 2005. download
  97. A. Felfernig. Koba4MS: Knowledge-based Recommenders for Marketing and Sales. In G. Uchyigit (ed.) Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces – Volume 1: WPRSIUI, (ICETE 2005), Reading, UK, pp. 164-174. 2005. download (selected best papers)
  98. A. Felfernig, G. Fliedl, and C. Kop. Applying Natural-Language Processing to Knowledge-based Configuration. In C. Bagley (ed.) Proceedings of the ECAI 2004 Workshop on Configuration, Valencia, Spain, pp. 5/1–5/6. 2004download
  99. A. Felfernig. Effort Estimation for Knowledge-based Configuration Systems. In C. Bagley (ed.) Proceedings of the ECAI 2004 Workshop on Configuration, Valencia, Spain, pp. 6/1–6/6. 2004. download
  100. A. Felfernig, G. Friedrich, D. Jannach, C. Russ, and M. Zanker. Developing Constraint-based Applications with Spreadsheets. In D. Mailharro (ed.) Proceedings of IJCAI 2003 Workshop on Configuration, Acapulco, Mexico, pp. 70–75. 2003. download
  101. A. Felfernig, G. Friedrich, D. Jannach, M. Silaghi, and M. Zanker. Distributed Generative CSP Approach towards multi-site product configuration. In Proceedings of the CP 2003 Workshop on Immediate Applications of Constraint Programming (ACP), Cork, Ireland, pp. 100–123. 2003. download
  102. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. A Joint Foundation for Configuration in the Semantic Web. In M. Aldanondo (ed.) Configuration – Papers from the Workshop at ECAI 2002, Workshop n0. 4Lyon, France, pp. 89–94. 2002download
  103. L. Ardissono, A. Felfernig, G. Friedrich, A. Goy, D. Jannach, M. Meyer, G. Petrone, R. Schaefer, W. Schuetz, and M. Zanker. Customizing the interaction with the user in online configuration systems. In M. Aldanondo (ed.) Configuration – Papers from the Workshop at ECAI 2002, Workshop n0. 4Lyon, France, pp. 119–124. 2002. download
  104. A. Felfernig, G. Friedrich, D. Jannach, M. Silaghi, and M. Zanker. Distributed generative CSP framework for multi-site product configuration. In M. Aldanondo (ed.) Configuration – Papers from the Workshop at ECAI 2002, Workshop n0. 4, Lyon, France, pp. 77–81. 2002. download
  105. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. UML as Semantic Web Service Description Language. In J. Bezivin and R. France, (eds.) Proceedings of the Workshop on Software Model Engineering. 5th International Conference on the Unified Modeling Language (UML2002), Dresden, Germany, pp. 1-1. 2002.
  106. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Semantic Configuration Web Services in the CAWICOMS project. In M. Aldanondo (ed.) Configuration – Papers from the Workshop at ECAI 2002, Workshop n0. 4, Lyon, France, pp. 82–88. 2002download
  107. A. Felfernig, G. Friedrich, D. Jannach, M. Stumptner, and M. Zanker. Transforming UML domain descriptions into Configuration Knowledge Bases for the Semantic Web. In B. Omelayenko and M. Klein (eds.) Proceedings of the Workshop on Knowledge Transformations for the Semantic Web (KTSW 2002), Lyon, France, pp. 11–18. 2002. download
  108. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. UML as Knowledge Acquisition Frontend for Semantic Web Configuration Knowledge Bases. In M. Schroeder and G. Wagner (eds.) Proceedings of International Workshop on Rule Markup Languages for Business Rules on the Semantic Web, Sardinia, Italy, pp. 155–169. 2002. download
  109. L. Ardissono, A. Felfernig, G. Friedrich, A. Goy, D. Jannach, R. Schaefer, and M. Zanker. Web-based Commerce of Complex Products and Services with Multiple Suppliers. In J. Sauer (ed.) Workshop: Planen und Konfigurieren (PuK), Vienna, Austria, pp. 1–8. 2001. download
  110. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Distributed Configuring. In T. Soininen (ed.) Proceedings of IJCAI 2001 Workshop on Configuration, Seattle, USA, pp. 18–24. 2001. download
  111. L. Ardissono, A. Felfernig, D. Jannach, G. Friedrich, R. Schaefer, and M. Zanker. Customer-Adaptive and Distributed Online Product Configuration in the CAWICOMS project. In T. Soininen (ed.) Proceedings of IJCAI 2001 Workshop on Configuration, Seattle, USA, pp. 8–14. 2001. download
  112. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Hierarchical Diagnosis of large configurator knowledge bases. In Proceedings of the 12th International Workshop on Principles of Diagnosis, Via Lattea, Italian Alps, Italy, pp. 55-66. 2001. download
  113. A. Felfernig, G. Friedrich, and D. Jannach. Conceptual Design for configuration and reconfiguration of customizable products. In M. Rosenman and S. Simoff (eds.) Proceedings of the Workshop on Advances in Conceptual Modeling in Design (ACMD00), Worcester, MA, USA, pp. 5–21. 2000download
  114. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Distributed configuration as distributed dynamic constraint satisfaction. In M. Stumptner (ed.) Proceedings of ECAI 2000 Workshop on Configuration, Berlin, Germany, pp. 35–40. 2000download
  115. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker. Integration of distributed constraint-based configurators. In M. Stumptner (ed.) Proceedings of ECAI 2000 Workshop on Configuration, Berlin, Germany, pp. 29–34. 2000download
  116. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Exploiting structural abstractions for consistency-based Diagnosis of Configurator Knowledge Bases. In M. Stumptner (ed.) Proceedings of ECAI 2000 Workshop on Configuration, Berlin, Germany, pp. 23–28. 2000. download
  117. A. Felfernig and A. Erkollar. Using UML as domain specific modeling language for the construction and maintenance of simulation models in the area of circuit board production. In Proceedings of Informs 1999, Philadelphia, USA, pp. 4-9. 1999. download
  118. A. Felfernig, G. Friedrich, and D. Jannach. Knowledge Acquisition for Configuration Systems: UML as a link between AI and Software Engineering. In F. Puppe, D. Fensel, J. Koehler, R. Studer, and R. Wetter (eds.) 13th Workshop Planen und Konfigurieren (PuK), Würzburg, Germany, pp. 72-81. 1999. download
  119. A. Felfernig, G. Friedrich, D. Jannach, and M. Stumptner. Consistency-based Diagnosis of Configuration Knowledge Bases. In B. Faltings, A. Felfernig, G. Friedrich, and E. Freuder (eds.) AAAI-99: Sixteenth National Conference on Artificial Intelligence-AAAI’99 Workshop on Configuration, Orlando, FL, USA, pp. 41-47. 1999. download
  120. A. Felfernig, D. Jannach, and M. Zanker. UML as domain-oriented language for the construction of complex knowledge-based configuration systems. In 1999 Workshop on Domain-oriented Software Development (DosD), Takamatsu, Japan, pp. 1-8. 1999download