An integrated environment for the development of knowledge-based recommender applications

International Journal of Electronic Commerce

Volumn 11, Issue 2, 2006, Pages 11-34

  Felfernig, Alexander ^a   Friedrich, Gerhard ^a   Jannach, Dietmar ^a   Zanker, Markus ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

End user programming; Knowledge acquisition; Knowledge based recommenders; Model based diagnosis; Personalization; Recommender systems; Testing recommender knowledge bases

Indexed keywords

EID: 33846227408     PISSN: 10864415     EISSN: None     Source Type: Journal    
DOI: 10.2753/JEC1086-4415110201     Document Type: Article

References (40)

1. Adomavicius, G., and Tuzhilin, A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17, 6 (2005), 734-749.
2. Ardissono, L.; Felfernig, A.; Friedrich, G.; Jannach, D.; Petrone, G.; Schäfer, R.; and Zanker, M. A framework for the development of personalized, distributed Web-based configuration systems. AI Magazine, 24, 3 (2003), 93-108.
3. Bhargava, H.; Sridhar, S.; and Herrick, C. Beyond spreadsheets: Tools for building decision support systems. IEEE Computer, 32, 3 (1999), 31-39.
4. Burke, R. Knowledge-based recommender systems. Encyclopedia of Library & Information Systems, 69, 32 (2000), 180-200.
5. Burke, R.; Hammond, K.; and Young, B. The FindMe approach to assisted browsing. IEEE Export, 12, 4 (1997), 32-40.
6. Burnett, M. HCI research regarding end-user requirement specification: A tutorial. Knowledge-Based Systems, 16, 7 (2003), 341-349.
7. Dalgaard, P. Introductory Statistics with R. New York: Springer, 2004.
8. DiGiano, C.; Kahn, K.; Cypher, A.; and Smith, D. Integrating learning supports into the design of visual programming systems. Visual Languages & Computing, 12, 5 (2001), 501-524.
9. Edvardson, J. A survey on automatic test data generation. In Second Conference on Computer Science and Engineering. Linköping, Sweden: ProNova, 1999, pp. 21-28.
10. European Union. Richtlinie 2002/92/EG des Europäischen Parlaments und des Rates vom 9. Dezember 2002 über Versicherungsvermittlung. Brussels: Amtsblatt der EU, 2002.
11. Felfernig, A., and Gula, B. An empirical study on consumer behavior in the interaction with knowledge-based recommender applications. In B. Werner (ed.), IEEE Conference on e-Commerce Technology. San Francisco: IEEE, 2006, pp. 288-296.
12. Felfernig, A., and Kiener, A. Knowledge-based interactive selling of financial services with FSAdvisor. In N. Jacobstein and B. Porter (eds.), Seventeenth Innovative Applications of Artificial Intelligence Conference. Menlo Park, CA: AAAI Press, 2005, pp. 1475-1482.
13. Felfernig, A., and Shchekotykhin, K. Debugging user interface descriptions of knowledge-based recommender applications. In C. Paris and C. Sidner (eds.), ACM Conference on Intelligent User Interfaces. Sydney: ACM Press, 2006, pp. 234-241.
14. Felfernig, A.; Friedrich, G.; Jannach, D.; and Stumptner, M. Consistency-based diagnosis of configuration knowledge bases. AI Journal, 2, 152 (2004), 213-234.
15. Felfernig, A.; Friedrich, G.; Jannach, D.; Stumptner, M.; and Zanker, M. Configuration knowledge representations for Semantic Web applications. AI Engineering Design, Analysis and Manufacturing Journal, 17, 1 (2003), 31-50.
16. Fleischanderl, G.; Friedrich, G.; Haselböck, A.; Schreiner, H.; and Stumptner, M. Configuring large systems using generative constraint satisfaction. IEEE Intelligent Systems, 13, 4 (1998), 59-68.
17. Friedrich, G. Elimination of spurious explanations. In Sixteenth European Conference on Artificial Intelligence. Valencia: IOS Press, 2004, pp. 813-817.
18. Godfrey, P. Minimization in cooperative response to failing database queries. International Journal of Cooperative Information Systems, 6, 2 (1997), 95-149.
19. Goodwill, J. Mastering JSP Custom Tags and Tag Libraries. New York: Wiley, 2002.
20. Herlocker, J.; Konstan, J.; Terveen, L.; and Riedl, J. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22, 1 (2004), 5-53.
21. Ioannidou, A. Programmorphosis: A Knowledge-Based Approach to End-User Programming. Zurich: IOS Press, 2003, pp. 152-159.
22. Jannach, D., and Kreutler, G. A knowledge-based framework for the rapid development of conversational recommenders. In X. Zhou, S. Su, M. Papazoglou, M. Orlowska, and K. Jeffery (eds.), Web Information Systems Engineering. Brisbane: Springer, 2004, pp. 390-402.
23. Jannach, D., and Liegl, J. Conflict-directed relaxation of constraints in content-based recommender systems. In M. Ali and R. Dapoigny (eds.), Proceedings of the 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2006. Annency: Springer, 2006, pp. 819-829.
24. Jiang, B.; Wang, W.; and Benbasat, I. Multimedia-based interactive advising technology for on-line consumer decision support. Communications of the ACM, 48,9 (2005), 93-98.
25. Junker, U. QuickXPlain: Preferred explanations and relaxations for overconstrained problems. In G. Ferguson and D. McGuinness (eds.), Nineteenth National Conference on Artificial Intelligence. San Jose, CA: AAAI Press, 2004, pp. 167-172.
26. Kirani, S.; Zualkernan, I.; and Tsai, T. Evaluation of expert system testing methods. Communications of the ACM, 37, 11 (1994), 71-81.
27. McSherry, D. Maximally successful relaxations of unsuccessful queries. In Proceedings of the 15th Conference on Artificial Intelligence and Cognitive Science. Castlebar, Ireland: Galway, 2004, pp. 127-136.
28. Mirzadeh, N.; Ricci, F.; and Bansal, M. Supporting user query relaxation in a recommender system. In K. Bauknecht, M. Bichler, and B. Proll (eds.), E-Commerce and Web Technologies, 5th International Conference, EC-Web 2004. Zaragoza, Spain: Springer, 2004, pp. 31-40.
29. Montaner, M.; Lopez, B.; and de la Rose, J. A taxonomy of recommender agents on the Internet. Artificial Intelligence Review, 19, 4 (2003), 285-330.
30. Pazzani, M., and Billsus, D. Learning and revising user profiles: The identification of interesting Web sites. Machine Learning, 27, 3 (1997), 313-331.
31. Preece, A.; Talbot, S.; and Vignollet, L. Evaluation of verification tools for knowledge-based systems. International Journal of Human-Computer Studies, 47, 5 (1997), 629-658.
32. Reiter, R. A theory of diagnosis from first principles. AI Journal, 23, 1 (1987), 57-95.
33. Resnick, P.; Iacovou, N.; Suchak, M.; Bergstrom, P.; and Riedl, J. Group-Lens: An open architecture for collaborative filtering of netnews. In J.B. Smith, F.D. Smith, and T.W. Malone (eds.), Proceedings of the ACM Conference on Computer Supported Cooperative Work. Chapel Hill, NC: Association for Computing Machinery, 1994, pp. 175-186.
34. Ricci, F.; Venturini, A.;, Cavada, D.; Mirzadeh, N.; Blaas, D.; and Nones, M. Product recommendation with interactive query management and twofold similarity. In K.D. Ashley and D. Bridge (eds.), Case-Based Reasoning: Proceedings of the Fifth International Conference on Case-Based Reasoning. Trondheim: Springer, 2003, pp. 479-493.
35. Ruthruff, J., and Burnett, M. Six Challenges in Supporting End-User Debugging: Workshop on End-User Software Engineering. St. Louis: ACM, 2005.
36. Schafer, J.; Konstan, J.; and Riedl, J. Electronic commerce recommender applications. Journal of Data Mining and Knowledge Discovery, 5, 1/2 (2000), 115-152.
37. Smyth, B.; Balfe, E.; Boydell, O.; Bradley, K.; Briggs, P.; Coyle, M.; and Freyne, J. A live user evaluation of collaborative Web search. In L.P Kaelbling and A. Saffiotti (eds.), Proceedings of the 19th International Joint Conference on Artificial Intelligence. Edinburgh: Professional Book Center, 2005, pp. 1419-1424.
38. Terveen, L., and Hill, W. Beyond Recommender Systems: Helping People Help Each Other. HCI in the New Millennium. New York: Addison-Wesley, 2001.
39. Thompson, C.; Göker, M.; and Langley, P. A personalized system for conversational recommendations. Journal of Artificial Intelligence Research, 21 (2004), 393-428.
40. Tiihonen, J.; Soininen, T.; Niemelä, I.; and Sulonen R. Empirical testing of a weight constraint rule based configurator. In ECAI Configuration Workshop. New York, 2002, pp. 17-22.