An adaptive recommendation system without explicit acquisition of user relevance feedback

Distributed and Parallel Databases

Volumn 14, Issue 2, 2003, Pages 173-192

  Shahabi, Cyrus ^a   Chen, Yi Shin ^a  

^a University of Southern California ^*  (United States)

Author keywords

e commerce; Genetic algorithm; Recommendation systems; Relevance feedback

Indexed keywords

ELECTRONIC COMMERCE; GENETIC ALGORITHMS; LEARNING SYSTEMS;

RECOMMENDATION SYSTEMS;

MANAGEMENT INFORMATION SYSTEMS;

EID: 0042318997     PISSN: 09268782     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1024888710505     Document Type: Article

References (31)

1. M. Balabanovi, "An adaptive web page recommendation service," in Proceedings of Autonomous Agents, 1997, pp. 378-385.
2. M. Balabanovi and Y. Shoham, "Fab, content-based, collaborative recommendation, Communications of the ACM, vol. 40, no. 3, pp. 66-72, 1997.
3. J. Breese, D. Heckerman, and C. Kadie, "Empirical analysis of predictive algorithms for collaborative filtering," in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998, pp. 43-52.
4. R. Fagin, "Combining fuzzy information from multiple systems," in Proceedings of Fifteenth ACM Symposyum on Principles of Database Systems, 1996.
5. D.E. Goldberg, Genetic Algorithms in Search, Optimisation, and Machine Learning, Addison-Wesley: Wokingham, England, 1989.
6. N. Good, J. Schafer, J. Konstan, J. Borchers, B. Sarwar, J. Herlocker, and J. Riedl, "Combining collaborative filtering with personal agents for better recommendations," in Proceedings of the 1999 Conference of the American Association of Artifical Intelligence, 1999, pp. 439-446.
7. J. Holland, Adaption in Natural and Artificial Systems, University of Michigan Press: Ann Arbor, Michigan.
8. A. Hunter, Sugal Programming manual, http://www.trajan-software.demon.co.uk/sugal.htm, 1995.
9. B. Kitts, D. Freed, and M. Vrieze. "Cross-sell, a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities," in Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, pp. 437-446.
10. E. Knorr, R. Ng, and V. Tucakov, "Distance-based outliers: Algorithms and applications," The VLDB Journal, vol. 8, no. 3, pp. 237-253, 2000.
11. D. Knuth, "Seminumerical algorithm," The Art of Computer Programming vol. 2, 1997.
12. A. Kohrs and B. Merialdo, "Using category-based collaborative filtering in the active WebMuseum," in Proceedings of IEEE International Conference on Multimedia and Expo, 2000, vol. 1, pp. 351-354.
13. J. Konstan, B. Miller, D. Maltz, J. Herlocker, L. Gordon, and J. Riedl, "Applying collaborative filtering to usenet news," Communications of the ACM, no. 4, p. 3, 1997.
14. W. Lam, S. Mukhopadhyay, J. Mostafa, and M. Palakal, "Detection of shifts in user interests for personalized information filtering," in Proceedings of the 19th Int'l ACM-SIGIR Conf on Research and Development in Information Retrieval, 1996, pp. 317-325.
15. H. Lieberman, N. Dyke, and A. Vivacqua, "Let's Browse, a collaborative Browsing Agent," Knowledge-Based Systems, vol. 12, pp. 427-431, 1999.
16. B. Mobasher, R. Cooley, and J. Srivastava, "Automatic personalization based on Web usage mining," Communications of the ACM, vol. 43, no. 8, pp. 142-151, 2000.
17. B. Mobasher, H. Dai, T. Luo, and M. Nakagawa, "Web data mining: Effective personalization based on association rule discovery from web usage data," in Proceeding of the Third International Workshop on Web Information and Data Management, 2001.
18. A. Moukas, "Amalthea: Information discovery and filtering using a multiagent evolving ecosystem," in Proceedings of 1st Int. Conf. on The Practical Applications of Intelligent Agents and MultiAgent Technology (PAAM), 1996.
19. M. Pazzani and D. Billsus, "Learning and revising user profiles: The indentification of interesting web sites," Machine Learning, vol. 27, pp. 313-331, 1997.
20. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl, "GroupLens, an open architecture for collaborative filtering of netnews," in Proceedings of ACM conference on Cumputer-Supported Cooperative Work, 1994, pp. 175-186.
21. Y. Rui, T. Huang, M. Ortega, and S. Mehrotra, "Relevance feedback: A power tool for interactive content-based image retrieval," IEEE Transactions on Circuits and Systems for Video Technology, vol. 8, no. 5, pp. 644-655, 1998.
22. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, "Application of dimensionality reduction in recommender system - A case study," in Proceedings of ACM WebKDD 2000 Web Mining for e-Commerce Workshop, 2000.
23. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, "Analysis of recommendation algorithms for e-Commerce," in Proceedings of ACM e-Commerce 2000 Conference, 2000.
24. C. Shahabi, F. Banaei-Kashani, Y.-S. Chen, and D. McLeod, "Yoda: An accurate and scalable web-based recommendation system," in Proceedings of Sixth International Conference on Cooperative Information Systems (CoopIS 2001), 2001.
25. C. Shahabi, F. Banaei-Kashani, J. Faruque, and A. Faisal, "Feature matrices: A model for efficient and anonymous web usage mining," in Proceedings of EC-Web, 2001.
26. C. Shahabi, F. Banaei-Kashani, and J. Faruque, "A reliable, efficient, and scalable system for web usage data acquisition," in WebKDD'01 Workshop in Conjunction with the ACM-SIGKDD, 2001.
27. C. Shahabi, A.M. Zarkesh, J. Adibi, and V. Shah, "Knowledge discovery from users web page navigation," in Proceedings of the IEEE RIDE97 Workshop, 1997.
28. U. Shardanand and P. Maes, "Social information filtering, algorithm for automating word of mouth," in Proceedings on Human Factors in Computing Systems, 1995, pp. 210-217.
29. B. Sheth and P. Maes, "Evolving agents for personalized information filtering," in Proceedings of the Ninth IEEE Conference on Artificial Intelligence for Applications, 1993.
30. A. Tan and C. Teo, "Learning user profiles for personalized information dissemination," in Proceedings of Int'l Joint Conf. on Neural Network, 1998, pp. 183-188.
31. L. Wu, C. Faloutsos, K. Sycara, and T. Payne, "FALCON: Feedback adaptive loop for content-based retrieval," in Proceedings of Int'l. Conf. on Very Large Data Bases, 2000.