Detection of Shifts in User Interests for Personalized Information Filtering.

Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal: Detection of Shifts in User Interests for Personalized Information Filtering. SIGIR 1996: 317-325

@inproceedings{DBLP:conf/sigir/LamMMP96,
  author    = {Wai Lam and
               Snehasis Mukhopadhyay and
               Javed Mostafa and
               Mathew J. Palakal},
  title     = {Detection of Shifts in User Interests for Personalized Information
               Filtering},
  booktitle = {SIGIR},
  year      = {1996},
  pages     = {317-325},
  ee        = {db/conf/sigir/LamMMP96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Several machine learning approaches have been proposed in the literature to automatically learn user interests for information filtering. However, many of them are ill-equipped to deal with changes in user interests that may occur due to changes in the user's personal and professional situations. If undetected over a long time, such changes may cause significant degradation in the filtering performance and user satisfaction during the period of non-detection. In this paper, we present a two-level learning approach to cope with such non-stationary user interests. While the lower level consists of a standard convergence-type machine learning algorithm, the higher level uses Bayesian analysis of the user provided relevance feedback to detect shifts in user interests. Once such a shift is detected, the lower-level learning algorithm is suitably reinitialized to quickly adapt to the new user profile. Experimental results with simulated users are presented to demonstrate the feasibility of the approach.

Copyright © 1996 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Hans-Peter Frei, Donna Harman, Peter Schäuble, Ross Wilkinson (Eds.): Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'96, August 18-22, 1996, Zurich, Switzerland (Special Issue of the SIGIR Forum). ACM 1996, ISBN 0-89791-792-8
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