1Oard, W. D.: 1997, The state of the art in text filtering, User Modeling and User Adapted Interaction (UMUAI) 7(3):141-178
2Kay, J. and Kummerfeld, R.: 1995, Customization and delivery of multimedia information.Technical Report, Basser Dept. of Computer Science, University of Sydney.
3Malone, T., Grant, K., Turbak, F., Brobst, S. and Cohen, M.: 1987, Intelligent information sharing systems. Communications of the ACM 30(5):390-402
4Morita, M. and Shinoda, Y.: 1994, Information filtering based on user behavior analysis and best match retrieval. Proceedings of the 17th Annual Intl. ACM SIGIR Conference on Research and Development:272-281
5Sheth, B.: 1994, A learning approach to personalized information filtering. Master's Thesis,Massachusetts Institute of Technology.
6Beerud, S.: 1994, New -A personalized information filtering system. http://agents.www.media.mit.edu/groups/agents/papers/newt-thesis.
7Hofferer, M., Knaus, B. and Winiwarter, W.: 1994, Adaptive information extraction from online messages. Proceedings of Intelligent Multimedia Information Retrieval Systems and Management. RIAO 94:314-327
8Shapira, B., Hanani, U., Raveh, A. and Shoval, P.: 1997, Information filtering: A new two-phase model using stereotypic profiling. Journal of Intelligent Information Systems 8:155-165
9Shapira, B., Shoval, P. and Hanani, U.: 1997, Stereotypes in information filtering systems. Information Processing and Management 33(3):273-287
10Maes, P. and Kozierok, R.: 1993, Learning interface agents. Proceedings of AAAI, 459-465
11Shardanand, U. and Maes, P.: 1995, Social information filtering algorithms for automating Word of Mouth'. Proceedings of the 1995 ACM Conference on Human Factors in Computing Systems, 210-217
12Konstan, A., Bradley, N. M., Maltz, D., Herlocker, J. L., Gordon, L. R. and Riedl, J.: 1997, GroupLens:., Applying collaborative filtering to usenet news. Communications of the ACM 40(3):77-87
13Raskutti, B., Beitz, A. and Ward, B.: 1997, A feature-based approach to recommending selections based on past preferences. User Modeling and User-Adapted Interaction 7(3):179-218
14Balabanovic, M. and Shoham, Y.: 1997, Fab: Content-based collaborative recommendation.Comm. of the ACM 40(3):60-72
15Allen, R. B.: 1990, User models: Theory, methods and practice. Int. Journal of Man-Machine Studies 32:511-543
16Kass, R. and Finin, T.: 1989, The role of user models in cooperative interactive systems. Intl. Journal of Intelligent Systems 4:81-112
17Stadnyk, I. and Kass, R.: 1992, Modeling users' interests in information filters. Communications of the ACM 35(12):49-50
18McCleary, H.: 1994, Filtered information services -A revolutionary new product or a new marketing strategy? Online 4(18):35-42
19Stefani, A. and Strapparava, C.: 1999, Exploiting NLP techniques to build user model for Web sites: the use of WordNet in SiteIF Project. Second Workshop on Adaptive Systems and User Modeling on the World Wide Web, 8th International World Wide Web Conference, Toronto, Canada, May 11-14, 1999
20Foltz, P. W. and Dumais, S. T.: 1992, Personalized information delivery: An analysis of information filtering methods. Communications of the ACM 35(12):51-60
21Lang, K.: 1995, NewsWeeder: Learning the filter netnews. Proceedings of the Twelfth International Conference on Machine Learning, Lake Tahoe, CA, 331-339
22Bollacker, K. D.,Lawrence, S. and Giles, C. L.: 2000, Discovering relevant scientific literature on the web, IEEE Intelligent Systems March/April 2000 15(2):42-47
23Tjoa, A. M., Hofferer, M., Ehrentraut, G. and Untersmeyer, P.: 1997, Applying Evolutionary Algorithms to the Problem of Information Filtering 8th International Workshop on Database and Expert Systems Applications (DEXA '97), September 1-2, 1997, Toulouse, France.
24Desjardins, G. and Godin, R.: 2000, Combining Relevance Feedback and Genetic Algorithms in an Internet Information Filtering Engine. RIAO'2000 Conference Proceedings, Vol. 2, April 12-14, 2000, Paris, France, 1676-1685
25Rich, E.: 1989, Stereotypes and user modeling. In: A. Kobsa and W. Wahster (eds): User Models in Dialog Systems, Springer Verlag, 35-51
26Brajnik, G., Guida, G. and Tasso, C.: 1990, User modeling in expert man-machine interfaces: A case study in intelligent information retrieval. IEEE Transactions on Systems, Man and Cybernetics 20(1):166-185
27Kay, J.: 1990, Um: a user modeling toolkit. Second Int'l User Modeling Workshop, 11-51
28Frakes, W. B. and Baeza-Yates, R.: 1992, Information Retrieval: Data Structures and Algorithms. Englewood Cliffs, NJ: Prentice-Hall.
29Rocchio, J. J.: 1971, Performance indices for document retrieval. In: G. Salton (ed.): The SMART Retrieval System -Experiments in Automatic Document Processing, Englewood,NJ, 57-67
30Netscape: 2000, http://www.netscape.com.
31Microsoft: 2000, http://www.microsoft.com.
32Wolinski, F., Vichot, F. and Stricker, M.: 2000, Using learning-based filters detect rule-based filtering obsolescence. RIAO'2000 Conference Proceedings, Vol. 2, April l2^14, 2000, Paris, France, 1208-1220
33Mock, K. J. and Vemuri Rao, V.: 1997, Information filtering via hill climbing, WordNet, and index patterns. Information Processing and Management 33(5):633-644
34Gurney, K.: 1996, An Introduction to Neural Networks. UCL Press, UK.
35Jennings, A. and Higuchi, H.: 1992, A personal news service based on a user model neural network. IEICE Transactions on Information and Systems E75-D(2):198-210
36Thomas, C. and Fisher, G.: 1996, Using agents to improve the usability an usefulness of the WWW. Proceedings of the 5th International Conference on User Modeling, 5-12
37Avery, C., Resnick, P. and Zeckhauser, R.: 1999, The market for evaluations. American Economics Review 89(3):564-584
38Amazon: 2000, http://www.amazon.com(Accessed Feb,8,2005)
39Oard, W. D.: 1998, Implicit Feedback for Recommender Systems. Proceedings of the American Association for Artificial Intelligence Workshop of Collaborative Systems(AAAI98), 80-83
40Yahoo: 2000, http://www.yahoo.com(Accessed Feb,8,2005)
41Go (Infoseek): 2000, http://www.go.com/.
42Jennings, A. and Higuchi, H: 1993, A user model neural network for a personal news service.User Modeling and User-Adapted Interaction 3(1):1-25
43Newell, S. C.: 1997, User models and filtering agents for improved internet information retrieval. User Modeling and User-Adapted Interaction 7(4):223-237
44Billsus, D. and Pazzani, M. J.: 1999a, A hybrid user model for news story classification. In: J.Kay (ed.): User Modeling: Proceedings of the Seventh International Conference, UM99,New York, Springer Wien, 99-108
45Billsus, D. and Pazzani, M. J.: 1999b, A personal news agent that talks, learns and explains. Proceedings of the Third Annual Conference on Autonomous Agents, May 1-5, 1999,Seattle, WA, USA, 268-275
46Baeza-Yates, R. and Ribeiro-Neto, B.: 1999, Modern Information Retrieval, New York: Addison-Wesley.
47Hull, D. A.: 1998, The TREC-6 filtering track: Description and analysis. The 6th Text Retrieval Conference (TREC-6), NIST SP 5-240, 45-68
48Su, L. T.: 1991, An investigation to find appropriate measures for information retrieval. Ph.D. thesis. Rutgers, State University of New Jersey, USA.
49Losee, R. M.: 1995, Determining information retrieval and filtering performance without experimentation. Information Processing and Management 31(4):555-572
50Belkin, N. J. and Croft, W. B.: 1992, Information filtering and information retrieval: Two sides of the same coin? Communications of the ACM 35(12):29-38
51Mostafa, J., Mukhopadhyay, S., Lam, W. and Palakal, M.: 1997, A multilevel approach to intelligent information filtering: Model, system and evaluation. ACM Transaction on Information Systems 15(4):368-399
52Shapira, B., Shoval, P. and Hanani, U.: 1999. Experimentation with an Information filtering, system that combines cognitive and sociological filtering integrated with user stereotypes.Decision Support Systems 27(1999):5-24
53Stadnyk, I. and Kass, R.: 1992, Modeling users' interests in information filters. Communications of the ACM 35(12):49-50
54Hull, D. A. and Robertson, S.: 2000, The TREC-8 filtering track: Final report. The 8th Text Retrieval Conference (TREC-7).
55Kuflik, T. and Shoval, P.: 2000, Generation of user profiles for information filtering - research agenda. Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development Information Retrieval, July 24-28, 2000, Athens Greece,313-315
56Arampatzis, A. T., van der Weide, T. P., Koster, C. H. A. and van Bommel, P.: 2000, Term selection for filtering based on distribution of terms over time, RIAO'2000 Conference Proceedings, Vol. 2, April 12^14, Paris, France, 1221-1237
57Kautz, H., Bart, S. and Shah, M.: 1997: Combining social networks and collaborative filtering.Communications of the ACM 40(3), 63-65
58Losee, R. M.: 2000, When information retrieval measures agree about the relative quality of document rankings. Journal of the American Society for Information Science 51(9):834-840 |