Tracking changes in user interests with a few relevance judgments

Dwi H. Widyantoro, Thomas R. Ioerger, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integrates (1) pseudo-relevance feedback mechanism, (2) assumption about the persistence of user interests and (3) incremental method for data clustering. This approach has been empirically evaluated using Reuters-21578 corpus in a setting for information filtering. The experiment results reveal that it significantly improves the performances of existing user-interest-tracking systems without requiring additional, actual relevance judgments.

Original languageEnglish (US)
Title of host publicationCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
EditorsO. Frieder, J. Hammer, S. Qureshi, L. Seligman
Pages548-551
Number of pages4
StatePublished - 2003
EventCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management - New Orleans, LA, United States
Duration: Nov 3 2003Nov 8 2003

Other

OtherCIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management
CountryUnited States
CityNew Orleans, LA
Period11/3/0311/8/03

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)

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    Widyantoro, D. H., Ioerger, T. R., & Yen, J. (2003). Tracking changes in user interests with a few relevance judgments. In O. Frieder, J. Hammer, S. Qureshi, & L. Seligman (Eds.), CIKM 2003: Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management (pp. 548-551)