Tracking changes in user interests with a few relevance judgments Conference Paper uri icon

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. Copyright 2003 ACM.

name of conference

  • Proceedings of the twelfth international conference on Information and knowledge management

published proceedings

  • Proceedings of the twelfth international conference on Information and knowledge management

author list (cited authors)

  • Widyantoro, D. H., Ioerger, T. R., & Yen, J.

citation count

  • 7

complete list of authors

  • Widyantoro, Dwi H||Ioerger, Thomas R||Yen, John

publication date

  • January 2003