Adaptive preference elicitation for top-k recommendation tasks using GAI-networks

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2007

Volumn , Issue , 2007, Pages 579-584

  Queiroz, Sergio ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

GAI networks; Graphical models; Knowledge representation; Preference elicitation; Recommender systems

Indexed keywords

COMBINATORIAL OPTIMIZATION; DATA STRUCTURES; HEURISTIC METHODS; KNOWLEDGE REPRESENTATION; PROBLEM SOLVING;

GAI NETWORKS; GRAPHICAL MODELS; PREFERENCE ELICITATION; RECOMMENDER SYSTEMS;

ADAPTIVE SYSTEMS;

EID: 38349093983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. F. Ricci, A. Venturini, D. Cavada, N. Mirzadeh, D. Blaas, and M. Nones, "Product recommendation with interactive query management and twofold similarity," in Proc. 5th International Conference on Case-Based Reasoning, ICCBR 2003, ser. LNCS, vol. 2689. Springer, 2003, pp. 479-493.
2. V. A. Ha and P. Haddawy, "Toward case-based preference elicitation: Similarity measures on preference structures." in "Proc. 14th Conference on Uncertainty in Artificial Intelligence (UAI)", 1998, pp. 193-201.
3. R. I. Brafman, C. Domshlak, and T. Kogan, "Compact value-function representation for qualitative preferences," in UAI-2004, 2004, pp. 51-58.
4. C. Boutilier, F. Bacchus, and R. I. Brafman, "Ucp-networks: A directed graphical representation of conditional utilities." in UAI, 2001, pp. 56-64.
5. C. Gonzales and P. Perny, "GAI networks for utility elicitation," in KR '04, 2004.
6. _, "GAI networks for decision making under certainty," in IJCAI'05 - Workshop on Advances in Preference Handling, 2005.
7. U. Chajewska, D. Koller, and R. Parr, "Making rational decisions using adaptive utility elicitation." in AAAI/IAAI, 2000, pp. 363-369.
8. C. Boutilier, R. Patrascu, P. Poupart, and D. Schuurmans, "Regret-based utility elicitation in constraintbased decision problems." in IJCAI, 2005, pp. 929-934.
9. V. A. Ha and P. Haddawy, "Problem-focused incremental elicitation of multi-attribute utility models." in UAI, 1997, pp. 215-222.
10. U. Chajewska, L. Getoor, J. Norman, and Y. Shahar, "Utility elicitation as a classification problem," in UAI, 1998, pp. 79-88.
11. D. Braziunas and C. Boutilier, "Local utility elicitation in gai models," in UAI-05. Arlington, Virginia: AUAI Press, 2005, p. 42.
12. C. Boutilier, R. Patrascu, P. Poupart, and D. Schuurmans, "Regret-based utility elicitation in constraint-based decision problems," in IJCAI, 2005, pp. 929-934.
13. G. Debreu, "Continuity properties of paretian utility," International Economic Review, vol. 5, pp. 285-293, 1964.
14. R. L. Keeney and H. Raiffa, Decisions with multiple objectives: preferences and value tradeoffs. John Wiley and Sons, Inc., 1976.
15. P. C. Fishburn, "Interdependence and additivity in multivariate, unidimensional expected utility theory," Int. Economic Review, vol. 8, pp. 335-342, 1967.
16. F. Bacchus and A. J. Grove, "Graphical models for preference and utility." in UAI, 1995, pp. 3-10.
17. J. L. Herlocker, "Understanding and improving automated collaborative filtering systems," Ph.D. Thesis, CS Dept., University of Minnesota, USA, 2000.
18. D. Nilsson, "An efficient algorithm for finding the M most probable configurations in probabilistic expert systems," Statistics and Computing, vol. 8, no. 2, pp. 159-173, 1998.
19. U. Chajewska and D. Koller, "Utilities as random variables: Density estimation and structure discovery." in UAI, 2000, pp. 63-71.
20. J. S. Breese, D. Heckerman, and C. M. Kadie, "Empirical analysis of predictive algorithms for collaborative filtering." in UAI, 1998, pp. 43-52.