Abstract
The paper discusses the issues involved in the design of a complete information retrieval system based on user-oriented clustering schemes. Clusters are constructed taking into account the users' perception of similarity between documents. The system accumulates feed-back from the users and employs it to construct user-oriented clusters. An optimization function to improve the effectiveness of the clustering process is developed. A retrieval process based on the clustering scheme is described. The system developed is experimentally validated and compared with existing systems.
| Original language | English (US) |
|---|---|
| Article number | 183900 |
| Pages (from-to) | 307-316 |
| Number of pages | 10 |
| Journal | Proceedings of the Annual Hawaii International Conference on System Sciences |
| Volume | 1 |
| DOIs | |
| State | Published - 1991 |
| Event | 24th Annual Hawaii International Conference on System Sciences, HICSS 1991 - Kauai, United States Duration: Jan 8 1991 → Jan 11 1991 |
ASJC Scopus subject areas
- Engineering(all)
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Bhuyan, J. N., Deogun, J. S., & Raghavan, V. V. (1991). Cluster-based adaptive information retrieval. Proceedings of the Annual Hawaii International Conference on System Sciences, 1, 307-316. [183900]. https://doi.org/10.1109/HICSS.1991.183900