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An Adaptive Algorithm for Learning Changes in User Interests (1999)  (Make Corrections)  (7 citations)
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
CIKM



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Abstract: In this paper, we describe a new scheme to learn dynamic users' interests in an automated information filtering and gathering system running on the Internet. Our scheme is aimed to handle multiple domains of long-term and short-term user's interests simultaneously, which is learned through positive and negative user's relevance feedback. We developed a 3-descriptor approach to represent the user's interest categories. Using a learning algorithm derived for this representation, our scheme... (Update)

Context of citations to this paper:   More

.... This classification characterization denotes whether a term expresses the users interests at a high or low degree respectively [1,21,23]. As an example, Figure 2 depicts the weights and respective characterizations of terms relevant to Computer Science bibliography for a...

...collect the training data without user intervention. 2) A user may have interests in multiple domains. PVA, like the previous works[2][14], models each domain in vector space model[13] Permission to make digital or hard copies of all or part of this work for personal or...

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BibTeX entry:   (Update)

D.H. Widyantoro, T.R. Ioerger, and J. Yu. An adaptive algorithm for learning changes in user interests. In Proceedings of the Eight ACM International Conference on Information and Knowledge Management, pages 405--412, 1999. http://citeseer.ist.psu.edu/widyantoro99adaptive.html   More

@inproceedings{ widyantoro99adaptive,
    author = "Dwi H. Widyantoro and Thomas R. Ioerger and John Yen",
    title = "An Adaptive Algorithm for Learning Changes in User Interests",
    booktitle = "{CIKM}",
    pages = "405-412",
    year = "1999",
    url = "citeseer.ist.psu.edu/widyantoro99adaptive.html" }
Citations (may not include all citations):
568   Indexing by Latent Semantic Analysis - Deerwester - 1990
225   NewsWeeder: Learning to Filter Netnews - Lang - 1995
91   Learning and Revising User Profiles: The Identification of I.. - Pazzani, Billsus - 1997
61   WebMate: Personal Agent for Browsing and Searching - Chen, Sycara - 1998
58   An Adaptive Web Page Recommendation Service - Balabanovi'c - 1997
57   Learning in the Presence of Concept Drift and Hidden Context.. - Widmer, Kubat - 1996
54   A learning Approach to Personalized Information Filtering - Sheth - 1993
45   Incremental Relevance Feedback for Information Filtering - Allan - 1996
27   A Personal News Agent that Talks (context) - Billsus, Pazzani - 1999
16   Tracking Context Changes through Meta-Learning - Widmer - 1997
15   Evolving a Multi-agent Information Filtering Solution in Ama.. - Moukas, Zacharia - 1997
14   Detection of Shifts in User Interests for Personalized Infor.. (context) - Lam, Mukhopadhyay et al. - 1996
10   Learning to Surf: MultiAgent Systems for Adaptive Web Page R.. (context) - Balabanovi'c - 1998
5   Alipes: A Swift Messenger in Cyberspace - Widyantoro, Yin et al. - 1999
4   Learning User Profile in Personalized News Agent (context) - Widyantoro - 1999
3   and Teo (context) - Tan - 1998
2   A NN Approach to Topic Spotting (context) - Wiener, Pederson et al. - 1995
1   Intr to Modern Information Retrieval (context) - Salton, McGill - 1983



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