Preference-based search with adaptive recommendations

AI Communications

Volumn 21, Issue 2-3, 2008, Pages 155-175

  Viappiani, Paolo ^a   Pu, Pearl ^a   Faltings, Boi ^a  

^a EPFL   (Switzerland)

Author keywords

Example critiquing; Preference elicitation; Preference based search; Recommender systems; User studies

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DECISION SUPPORT SYSTEMS; GAME THEORY; INFORMATION RETRIEVAL SYSTEMS; MANAGEMENT INFORMATION SYSTEMS;

EXAMPLE-CRITIQUING; PREFERENCE ELICITATION; PREFERENCE-BASED SEARCH; RECOMMENDER SYSTEMS; USER STUDIES;

DECISION THEORY;

EID: 57349102921     PISSN: 09217126     EISSN: None     Source Type: Journal    
DOI: 10.3233/AIC-2008-0433     Document Type: Conference Paper

References (37)

1. M. Borghetto, R. Kent, M. Owen and D. Cornell, Transportation e-commerce and the task of fulfilment, Morgan Stanley and Dean Witter, Equity Research Europe, March 2000.
2. C. Boutilier, A pomdp formulation of preference elicitation problems, in: Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI'02), Edmonton, CA, USA, 2002, pp. 239-246.
3. R. Burke, Interactive critiquing for catalog navigation in e-commerce, Artificial Intelligence Review 18(3/4) (2002), 245-267.
4. R.D. Burke, K.J. Hammond and B.C. Young, The Find Me approach to assisted browsing, IEEE Expert 12(4) (1997), 32-40.
5. U. Chajewska, D. Koller and R. Parr, Making rational decisions using adaptive utility elicitation, in: Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAA1'00), Menlo Park, CA, USA, AAA1 Press/MIT Press, 2000, pp. 363-369.
6. G.B. Chapman and E. Johnson, Incorporating the irrelevant: Anchors in judgments of belief and value, in: Heuristics and Biases: The Psychology of Intuitive Judgment, T. Gilovich and D. Kahneman, eds, Cambridge University Press, Cambridge, UK, 2002, pp. 120-138.
7. L. Chen and P. Pu, Evaluating critiquing-based recommender agents, in: Proceedings of the Twenty-first National Conference on Artificial Intelligence (AAAI-06), Boston, MA, USA, July 2006, AAAI Press, 2006, pp. 157-162.
8. N. Epley and T. Gilovich, Putting adjustment back in the anchoring and adjustment heuristic: Differential processing of self-generated and experimenter-provided anchors, Psychological Science 12(5) (2001), 391-396.
9. R. Fagin, Fuzzy queries in multimedia database systems, in: PODS'98: Principles of Database Systems, New York, 1998, ACM Press, New York, NY, USA, 1998, pp. 1-10.
10. D. Griffen, T. Gilovich and D. Kahneman (eds), Heuristics and Biases: The Psychology of Intuitive Judgment, Cambridge University Press, Cambridge, UK, 2002.
11. R.L. Keeney, Value-Focused Thinking. A Path to Creative Decision Making, Harvard University Press, Cambridge, 1992.
12. R.L. Keeney, J.S. Hammond and H. Raiffa, Smart Choices: A Guide to Making Better Decisions, Harvard University Press, Boston, 1999.
13. W. Kiesling, Foundations of preferences in database systems, in: Proceedings of the 28th International Conference on Very Large Data Bases (VLDB '02), Hong Kong, 2002, pp. 311-322.
14. G. Linden, S. Hanks and N. Lesh, Interactive assessment of user preference models: The automated travel assistant, in: Proceedings of the Fifth International Conference on User Modeling (UM'97), Chia Laguna, Italy, 1997, pp. 67-78.
15. K. McCarthy, L. McGinty, B. Smyth and J. Reilly, A live-user evaluation of incremental dynamic critiquing, in: Proceedings of the 6th International Conference on Case-Based Reasoning (ICCBR'05), LNAI, Vol. 3620, Springer, 2005, pp. 339-352.
16. K. McCarthy, L. McGinty, B. Smyth and J. Reilly, On the evaluation of dynamic critiquing: A large-scale user study, in: Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI'05), Pittsburgh, PA, USA, 2005, pp. 535-540.
17. D. McSherry, Diversity-conscious retrieval, in: Proceedings of 6th European Conference on Advances in Case-Based Reasoning (ECCBR'02), Abeerden, Scotland, UK, 2002, pp. 219-233.
18. J.W. Payne, J.R. Bettman and E.J. Johnson, The Adaptive Decision Maker, Cambridge University Press, Cambridge, UK, 1993.
19. P. Pu and L. Chen, Integrating tradeoff support in product search tools for e-commerce sites, in: Proceedings of ACM Conference on Electronic Commerce (EC05), Vancouver, BC, Canada, 2005, pp. 269-278.
20. P. Pu and B. Faltings, Enriching buyers' experiences: the smartclient approach, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'00), ACM Press, New York, NY, USA, pp. 289-296, 2000.
21. P. Pu, B. Faltings and M. Torrens, Effective interaction principles for online product search environments, in: Proceedings of the 3rd ACM/IEEE International Conference on Web Intelligence, Beijing, China, IEEE Press, 2004, pp. 724-727.
22. P. Pu and P. Kumar, Evaluating example-based search tools, in: Proceedings of the ACM Conference on Electronic Commerce (EC'04), New York, NY, USA, 2004.
23. P. Pu, P. Viappiani and B. Faltings, Increasing user decision accuracy using suggestions, in: ACM Conference on Human Factors in Computing Systems (CHI'06), Montreal, Canada, April 2006, pp. 121-130.
24. J. Reilly, K. McCarthy, L. McGinty and B. Smyth, Dynamic critiquing, in: Proceedings of the 7th European Conference on Advances in Case-Based Reasoning (ECCBR '04), Madrid, Spain, 2004, pp. 763-777.
25. F. Ricci and Q.N. Nguyen, Acquiring and revising preferences in a critique-based mobile recommender system, IEEE Intelligent Systems 22(3) (2007), 22-29.
26. H. Shimazu, Expertclerk: Navigating shoppers buying process with the combination of asking and proposing, in: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI'01), Seattle, WA, USA, Vol. 2, 2001, pp. 1443-1448.
27. P. Slovic, The construction of preference, American Psychologist 50(5) (1995), 364-371.
28. B. Smyth and P. McClave, Similarity vs. diversity, in: Proceedings of the 4th International Conference on Case-Based Reasoning (ICCBR'01), Vancouver, BC, Canada, 2001, pp. 347-361.
29. B. Smyth and L. McGinty, The power of suggestion, in: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 2003), Acapulco, Mexico, 2003, pp. 127-132.
30. M. Stolze and M. Ströbel, Utility-based decision tree optimization: A framework for adaptive interviewing, in: User Modeling, M. Bauer, P.J. Gmytrasiewicz and J. Vassileva, eds, Lecture Notes in Computer Science, Vol. 2109, Springer, Berlin, Germany, 2001, pp. 105-116.
31. A. Tversky, Contrasting rational and psychological principles in choice, Wise Choices: Decisions, Games and Negotiations, Harward Business School, Boston, MA, USA, 1996, pp. 719-736.
32. A. Tversky, D. Kahneman and P. Slovic, Judgement under uncertainty: Heuristics and biases, Science 185 (1974), 1124-1131.
33. A. Tversky, S. Sattath and P. Slovic, Contingent weighting in judgment and choice, Psychological Review 95 (1988), 371-384.
34. P. Viappiani, B. Faltings and P. Pu, The lookahead principle for preference elicitation: Experimental results, in: Seventh International Conference on Flexible Query Answering Systems (FQAS), Milan, Italy, 2006.
35. P. Viappiani, B. Faltings and P. Pu, Preference-based search using example-critiquing with suggestions, Journal of Artificial Intelligence Research (JAIR) 27 (2006), 465-503.
36. M. Zanker, S. Gordea, M. Jessenitschnig and M. Schnabl, A hybrid similarity concept for browsing semi-structured product items, in: EC-Web, K. Bauknecht, B. Pröll and H. Werthner, eds, Lecture Notes in Computer Science, Vol. 4082, Springer, Berlin, Germany, 2006, pp. 21-30.
37. J. Zhang and P. Pu, Performance evaluation of consumer decision support systems, International Journal of E-Business Research 2 (2006), 28-45.