References
- Avery, C. & Zeckhauser, R. (1997, March). Recommender systems for evaluating ComputerMessages. Communications of the ACM, Vol. 40, Issue 3.
- Claypool, M., Le, P., Wased, M. & Brown, D. (2001). Implicit interest indicators. In Proc. 6th International Conference on Intelligent User Interfaces.
- Cooper, M.D. & Chen, H.-M. (2001). Predicting the Relevance of a Library Catalog Search, Journal of the American Society for Information Science, 52 (10).
- Jung, K. (2001). Modeling web user interest with implicit indicators, Master Thesis, Florida Institute of Technology, USA.
- Kelly, D. (2005). Implicit Feedback: Using Behavior to Infer Relevance. New directions in cognitive information retrieval, The Information Retrieval Series, Vol. 19, Section IV.
- Kelly, D. & Belkin, N.J. (2001). Reading time, scrolling and interaction: exploring implicitsources of user preferences for relevance feedback. In SIGIR ’01.
- Kim, H. & Chan, P.K. (2008). Implicit Indicators For Interesting Web Pages. Proceedings of International Conference on Web Information Systems and Technologies, Miami.
- Kim, K., Carroll, J.M. & Rosson, M. (2002). An Empirical Study of Web Personalization Assistants:Supporting End-Users in Web Information Systems. In Proceedings of the IEEE 2002 Symposia on Human Centric Computing Languages and Environments. Arlington, USA.
- Kim, Y.S., Yum, B.J., Song J. & Kim, S.M. (2005). Development of a recommender systembased on navigational and behavioral patterns of customers in e-commerce sites. Expert Systems with Applications Vol. 28, Issue 2.
- Middleton, S.E., Shadbolt, N.R. & De Roure, D.C. (2003). Capturing Interest through Inferenceand Visualization: Ontological User Profiling in Recommender Systems. In Proceedings of the Second Annual Conference on Knowledge Capture.
- Miller, B.N., Riedl, J.T. & Konstan, J.A. (2003). GroupLens for Usenet: Experiences in ApplyingCollaborative Filtering to a Social Information System. In: C. Lueg, D. Fisher [Eds.], From Usenet to CoWebs: Interacting With Social Information Spaces. London: Springer Press.
- Morita, M. & Shinoda, Y. (1994). Information Filtering Based on User Behavior Analysis andBest Match Text Retrieval, In Proceedings of ACM Conference on Research and Development in Information Retrieval (SIGIR ’94), Dublin, Ireland.
- Nichols, D.M. (1997). Implicit Ratings and Filtering. In Proceedings of the 5th DELOS Workshop on Filtering and Collaborative Filtering, Hungary.
- Oard, D.W. & Kim, J. (2001). Modeling Information Content Using Observable Behavior. In Proceedings of the 64th Annual Meeting of the American Society for Information Science and Technology (ASIST ’01), USA.
- Seo, Y.W. & Zhang, B.T. (2000). A Reinforcement Learning Agent for Personalized In-formationFiltering, In Proceedings of the 5th International Conference on Intelligent User Interfaces, USA.
- Velayathan, G. & Yamada, S. (2005). Behavior Based Web Page Evaluation, Journal of WebEngineering, Vol. 1, No. 1.