Tracking changes in user interests with a few relevance judgments (2003) [2 citations — 1 self]
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by Dwi H. Widyantoro, Thomas R. Ioerger
In Proceedings of the Twelfth ACM International Conference on Information and Knowledge Management (CIKM-2003
http://students.cs.tamu.edu/dhw7942/papers/cikm03.pdf
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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) pseudorelevance 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.
Citations
| 1356 | Dubes. Algorithms for Clustering Data – Jain, C - 1988 |
| 559 | Relevance feedback in information retrieval, The – Rocchio - 1971 |
| 134 | C.Buckley, Improving Automatic Query Expansion – Singhal - 1998 |
| 106 | Real life, real users and real needs: A study and analysis of users – Jansen, Spink, et al. - 2000 |
| 21 | Learning changing concepts by exploiting the structure of change – Bartlett, Ben-David, et al. - 1996 |
| 18 | Learning User Interest Dynamics with a Three-Descriptor Representation – Widyantoro, Ioerger, et al. |
| 6 | An Incremental Approach to Building a Cluster Hierarchy – Widyantoro, Ioerger, et al. - 2002 |
| 2 | Learning Drifting Concepts with Partial User Feedback, Beiträge zum Treffen der GIFachgruppe – Klinkenberg - 1999 |
