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, L. Boratto, M. Stettinger, and M. Tkalcic. Group Recommender Systems: An Introduction. (2 ed.) Springer Publishing Company, Incorporated, 2024. [Springer]
2. A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic. Group Recommender Systems: An Introduction. (1 ed.) Springer Publishing Company, Incorporated, 2018. [Springer] [Amazon]
3. 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]
4. 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. to appear
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. [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. [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. [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. [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. 2022.  [De Gruyter] [PDF]
7. C. Vidal, A. Felfernig, J. Galindo, M. Atas, and D. Benavides. Explanations for over-constrained problems using QuickXPlain with speculative executions. Journal of Intelligent Information Systems. 2021. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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. [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.  [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. [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. [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. [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. [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. [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. [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. [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. [Springer] [PDF]
42. R. Burke, A. Felfernig, and M. Goeker. The Future of Recommender Systems: Research and Applications. AI MAGAZINE, 2011.
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. [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. [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. [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. [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, 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 Systems, 2023. [CEUR]
2. 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]
3. 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]
4. 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.  [ACM]
5. 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.  [ACM]
6. M. Aldanondo, A. Falkner, A. Felfernig, and M. Stettinger. Proceedings of the 23rd International Configuration Workshop (ConfWS 2021), Vienna, Austria, 2021.  [CEUR-WS]
7. 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. [ACM]
8. 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, 2021. download
9. 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, 2020. download
10. C. Forza, L. Hvam, and A. Felfernig. Proceedings of the 22nd International Configuration Workshop, Vicenza, Italy, 2020. download
11. 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, 2020. download
12. A. Felfernig, J. Tiihonen. Knowledge-based Configuration. JUCS – Journal of Universal Computer Science 26(3), pp. 317-317, 2020. download
13. 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, 2019. download
14. A. Felfernig, L. Hotz, J. Tiihonen, and M. Stettinger. Proceedings of the 20th International Configuration Workshop, Graz, Austria, 2018. download
15. A. Felfernig, L. Boratto, M. Stettinger, and M. Tkalcic. Group Recommender Systems: An Introduction. Springer, 2018. download
16. 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, 2018. download
17. 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, 2017. download
18. 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, 2016. download
19. 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, 2015. download
20. A. Felfernig, J. Tiihonen, and P. Blazek. Proceedings of the 1st International Workshop on Personalization & Recommender Systems in Financial Services, April 16th, Graz, Austria, 2015. download
21. A. Felfernig, L. Hotz, C. Bagley, J. Tiihonen. Knowledge-based Configuration: From Research to Business Cases. Morgan Kaufmann Publishers Inc., 2014. download
22. A. Felfernig, C. Forza, and A. Haag. Proceedings of the 16th International Configuration Workshop, Novi Sad, Serbia, CEUR Proceedings, Vol. 1220, pp. 1-94, 2014. download
23. 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, 2014. download
24. 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, 2013. download
25. 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, 2013. download
26. A. Felfernig and F. Wotawa. Intelligent Engineering Techniques for Knowledge Bases. AI Communications, IOS Press, vol. 26, no. 1, 2013. download
27. 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, 2012. download
28. 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, 2012. download
29. 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. download
30. R. Burke, A. Felfernig, and M. Goeker. The Future of Recommender Systems: Research and Applications. AI MAGAZINE, 2011.
31. 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, 2011. download
32. 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, 2011. download
33. A. Felfernig and F. Wotawa. AI Communications Special Issue on Intelligent Engineering Techniques for Knowledge Bases, 2011.
34. W. Maalej, A. Thurimella, and A. Felfernig. Proceedings of the 3rd International Workshop on Managing Requirements Knowledge(MaRK’2010), Sydney, Australia, 2010. download
35. 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.
36. 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, 2010. download
37. 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, 2009. download
38. 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, 2008. download
39. M. Zanker, A. Felfernig, and R. Burke. Proceedings of Workshop on Recommender Systems. 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece, 2008. download
40. J. Tiihonen, A. Felfernig, T. Männistö, and M. Zanker. Special Issue on Configuration Systems. International Journal of Mass Customization, 2008.
41. A. Felfernig, G. Friedrich, and L. Schmid-Thieme. Guest Editors’ Introduction: Recommender Systems. IEEE Intelligent Systems, vol. 22, no. 3, 2007. download
42. 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, 2006. download
43. A. Felfernig and D. Jannach. Proceedings of the Configuration Workshop. 19th International Joint Conference on Artificial Intelligence (IJCAI’05), Edinburgh, Scotland, 2005. download
44. A. Felfernig, B. Faltings, G. Friedrich, and E. Freuder. Proceedings of the Workshop on Configuration. Orlando, Florida, 1999. download

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, 2018. download
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, 2018. download
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, 2018. download
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, 2018. download
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, 2018. download
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, 2018. download
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, 2018. download
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, 2018. download
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, 2018. download
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, 2003. download
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. 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. to appear
2. 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. to appear
3. 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. to appear
4. 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. to appear
5. 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. [AAAI] [PDF]
6. 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. [IOS Press]
7. 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. [ACM]
8. 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. [ACM]
9. 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. [Springer]
10. 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. [IOS Press]
11. 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. [Springer] [arXiv]
12. 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. [ACM]
13. 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. [AAAI] [arXiv]
14. 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. [PDF]
15. 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
16. 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
17. 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
18. 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, Austria. 2022. [ACM]
19. 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
20. 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, Virtual. 2021. download
21. 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
22. 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, Virtual. 2021. [IEEE], [arXiv]
23. 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
24. 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
25. 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. 2020. download
26. 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
27. 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
28. 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
29. 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
30. 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. 2020. download
31. 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. 2020. download
32. 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
33. 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
34. 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. 2019. download
35. 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. 2019. download
36. 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. 2019. download
37. 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. 2019. download
38. 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. 2019. download
39. 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. 2019. download
40. 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.
41. 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
42. 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
43. 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
44. 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. 2018. download
45. 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, 2018. download
46. 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. 2018. download
47. 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
48. 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. 2018. download
49. 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. 2018. download
50. 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
51. 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. 2018. download
52. 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
53. 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
54. 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
55. 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. 2018. download
56. 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
57. 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, Austria, pp. 401-404. 2018. download
58. 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. 2017. download
59. 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. 2017. download (SEKE 2017 Best Paper Award)
60. 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
61. 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
62. 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
63. 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)
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. 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. 2012. download
76. A. Felfernig and L. Weninger. Improving Requirements Engineering using Group Decision Tools. In 11. Requirements Engineering Tagung, München, Germany. 2012.
77. 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
78. 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
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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)
85. 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
86. 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
87. 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
88. 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
89. 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
90. 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
91. 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
92. 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.
93. 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
94. 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
95. 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. 2009. download
96. 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
97. 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
98. 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
99. 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
100. 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. 2007. download
101. 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
102. 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.
103. 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. 2006. download
104. 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)
105. 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
106. 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
107. 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
108. 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.
109. 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. 2005. download
110. 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. 2005. download
111. 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
112. 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
113. 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
114. 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. 2004. download
115. 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
116. 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
117. 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. 2002. download
118. 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. 2002. download
119. 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. 2002. download
120. 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
121. 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
122. 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. 2002. download
123. 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. 2002. download
124. 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
125. 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. 2001. download
126. 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
127. 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
128. 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
129. 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
130. 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
131. 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
132. 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
133. 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. 2000. download
134. 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. 2000. download
135. 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. 2000. download
136. 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. 2000. download
137. 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
138. 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. 2000. download
139. 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
140. 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.
141. 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. 1999. download

Habilitationsschrift (Habilitation)

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

Workshop Papers

1. 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]
2. 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. [CEUR] [arXiv]
3. 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. [CEUR]
4. 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. [CEUR]
5. 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. [CEUR]
6. 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. [CEUR]
7. S. Lubos, A. Felfernig, V.M. Le. Specifying Configurable Videos with Feature Models. In 25th International Workshop on Configuration (ConfWS 2023), Malaga, Spain. 2023. [CEUR]
8. 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]
9. 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. 2022. download
10. 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, Austria. 2022. download
11. 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
12. 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, Austria. 2022. download
13. 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, Austria. 2022. download
14. 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, Austria. 2022. download
15. 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
16. 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
17. 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. 2021. download
18. 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. 2021. download
19. 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. 2021. download
20. 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
21. 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. 2021. download
22. 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
23. 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
24. 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
25. 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. 2019. download
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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. 2018. download
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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, 2016. download (ConfWS’16 – runner-up best paper)
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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. 2015. download
51. 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
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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, 2011. download
72. 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. 2011. download
73. 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
74. 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
75. 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
76. 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
77. 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, 2010. download
78. 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
79. 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
80. 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
81. A. Felfernig and M. Schubert. Diagnosing Inconsistent Requirements. In Proceedings of ECAI 2010 Workshop on Configuration, Lisbon, Portugal, pp.15-20, 2010. download
82. 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, 2009. download
83. J. Tiihonen and A. Felfernig. Towards Recommending Configurable Offerings. In ECAI 2008 Workshop on Configuration Systems, Patras, Greece, pp. 29–34. 2008. download
84. 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, 2007. download
85. 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. 2006. download
86. 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
87. 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.
88. 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
89. 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
90. 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)
91. 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. 2004. download
92. 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
93. 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
94. 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
95. 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. 4, Lyon, France, pp. 89–94. 2002. download
96. 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. 4, Lyon, France, pp. 119–124. 2002. download
97. 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
98. 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.
99. 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. 2002. download
100. 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
101. 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
102. 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
103. 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
104. 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
105. 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
106. 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. 2000. download
107. 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. 2000. download
108. 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. 2000. download
109. 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
110. 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
111. 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
112. 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
113. 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. 1999. download