AntWebBibFull.doc
- 1. AntWebBib_Full References Berger, A. (2001) Statistical Machine Learning for information retrieval, PhD dissertation, Department of Computer Science, Carnegie Mellon University, 2001. Breese J.S., Heckerman D. and Kadie C. (1998), Empirical Analysis of Predictive Algorithms for Collaborative Filtering, Proceedings 14th Conference on Uncertainty in Artificial Intelligence, Madison WI: Morgan Kauffman. Campbell, I. and van Rijsbergen, K. (1996) The Ostensive Model of developing information needs, CoLIS-2, Copenhagen. Furnas, G. W. and Landauer, T. K. and Gomez, L. M. and Dumais, S. T. (1983) Statistical Semantics: Analysis of the Potential Performance of Key-Word Information Systems, The Bell System Technical Journal, 62(6), 1753-1806. He, D. and Goker, A. and Harper, D. J. (2002) Combining Evidence for Automatic Web Session Identification, Processing and Management, 38(5): 727-742, 2002. Hearst, M. and Pedersen, P. (1996) Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results, SIGIR 1996, Zurich. Kelly, D. and Teevan, J. (2003). Implicit feedback for inferring user preference: A bibliography. SIGIR Forum, 37(2), 18-28. Kosmynin, A. (1996) An Information Broker for Adaptive Distributed Resource Discovery Service, Proceedings of WebNet ’96, San Francisco. Lavrenko, V. and Croft, W. B. (2001) Relevance based language models, SIGIR 2001, New Orleans, 120-127. Jurafsky, D. and Martin, J. H. (2000) Speech and Language Processing – An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Prentice-Hall. Manning, C. and Schutze, H. (2001) Foundations of Natural Language Processing, The MIT Press. Mukhopadhyay, S., Peng, S., Raje, R., Palakal, M., & Mostafa, J. "Large-scale Multi-agent Information Classification Using Dynamic Acquaintance Lists". Journal of the American Society for Information Science & Technology, 54(10), 2003. Muresan, G. (2002) Language Modelling and Document Clustering for Mediated Information Retrieval, PhD thesis, The Robert Gordon University, UK. Muresan, G. and Harper, D. J. (2001) Document Clustering and Language Models for System-Mediated Information Access in Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries, Darmstadt, 4-9 September 2001, pp.438-449. Ponte, J. M. and Croft, W. B. (1998) Language modeling for Information Retrieval, SIGIR 1998, Melbourne, 275-281. Shardanand U. and Maes (1995), Social information filtering: Algorithms for automating "word of mouth", Proceedings of CHI'95 -- Human Factors in Computing Systems, 210-217.
- 2. Willett, P. (1988) Recent Trends in Hierarchic Document Clustering. A Critical Review”, Information Processing and Management, 24, 577-597. Witten, I. H. and Moffat, A. and Bell, T. C. (1999) Managing Gigabytes. Compressing and Indexing Documents and Images, Morgan Kaufmann. Xu, J. and Croft, W. B. (1999) Cluster-based language models for distributed retrieval, SIGIR’99, Berkeley, p.254-261. References Bushey, R., Manuney, J.M., & Deelman T. (1999). The development of behavior-based user models for a computer system, In Proceedings of the Seventh International Conference on User Modeling, pp.109-118. Kuflik, T., Shapira, B. & Shoval, P. (2003).Stereotype-based versus personal-based filtering rules in information filtering systems. Journal of the American Society for Infomation Science and Technology, 54(3):243-250. Mitchell, K., Woodbury, M.A. & Norcio, A.F. (1994). Individualizing user interfaces: Application of the grade of membership (GoM) model for development of fuzzy user classes. Information Science, 1:9-29 Middleton, S. E., Shadbolt, N. R. and De Roure, D. C. (2004). Ontological user profiling in recommender systems. ACM Transactions on Information Systems, 22(1): 54– 88. Motaner, M., Lopez, B. & J. Lluis De La (2003). A taxonomy of recommender agents on the Internet. Artificial Intelligence Review, 19: 285-330. Shapira, B., Shoval, P. & Hanani, U. (1997). Stereotypes in information filtering systems. Information Processing and Management, 33(3):273-287. Shapira, B., Shoval, P. & Hanani, U. (1999). Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes. Decision Support Systems 27, pp. 5-24. Rich, E. (1979). Users modeling via stereotypes. Cognitive Science, 3: 329-354. Rich, E. (1989). Stereotypes and user modeling. In A. Kobsa, W. Wahlster (Eds.): User Models in Dialog Systems, Springer-Verlag, Berlin. pp.35-51. Zhang, X. (2003). Discriminant Analysis as a Machine Learning Method for Revision of User Stereotypes of Information Retrieval Systems. In Sofus A. Macskassy, et al (Eds.): In Workshop Proceedings of Machine Learning, Information Retrieval and User