Dwi H. Widyantoro, Thomas R. Ioerger, John Yen  Home/Search
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Abstract: Learning users' interest categories is challenging in a dynamic environment like the Web because they change over time. This paper describes a novel scheme to represent a user's interest categories, and an adaptive algorithm to learn the dynamics of the user's interests through positive and negative relevance feedback. We propose a three-descriptor model to represent a user's interests. The proposed model maintains a long-term interest descriptor to capture the user's general interests and a... (Update)
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BibTeX entry: (Update)
Widyantoro D.H., Ioerger T. and Yen J. Learning User Interest Dynamics with a three descriptor representation (To appear in the journal of the American Society for Information Science (JASIS) http://citeseer.ist.psu.edu/widyantoro00learning.html More
@article{ widyantoro01learning,
author = "Dwi H. Widyantoro and Thomas R. Ioerger and John Yen",
title = "Learning user interest dynamics with a three-descriptor representation",
journal = "Journal of the American Society of Information Science",
volume = "52",
number = "3",
pages = "212-225",
year = "2001",
url = "citeseer.ist.psu.edu/widyantoro00learning.html" }
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45 Incremental Relevance Feedback for Information Filtering - Allan - 1996
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27 A Personal News Agent that Talks (context) - Billsus, Pazzani - 1999
27 Document Filtering with Inference Networks - Callan - 1996
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14 Detection of Shifts in User Interests for Personalized Infor.. (context) - Lam, Mukhopadhyay et al. - 1996
7 An Adaptive Algorithm for Learning Changes in User Interests - Widyantoro, Ioerger - 1999
4 Learning User Profile in Personalized News Agent (context) - Widyantoro - 1999
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