User-oriented document clustering: A framework for learning in information retrieval

J. S. Deogun, V. V. Raghavan

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

21 Scopus citations

Abstract

In information retrieval, cluster analysis is an important tool employed to enhance both efficiency and effectiveness of the retrieval process. Most clustering algorithms have difficulty in reflecting the closeness of documents as perceived by the user. A two phase scheme for document clustering, whose results reflect the "conceptual" clusters that are perceived by the user of the retrieval system, is proposed. Since the clusters obtained by this scheme are not characterized in terms of the document representations, a strategy for cluster searching is also developed. Both the proposed document clustering scheme and document searching strategy are experimentally evaluated using a test collection from the SMART system. The preliminary experimental results obtained are very encouraging.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1986
EditorsFausto Rabitti
PublisherAssociation for Computing Machinery, Inc
Pages157-163
Number of pages7
ISBN (Electronic)0897911873, 9780897911870
DOIs
Publication statusPublished - Sep 1 1986
Event9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1986 - Pisa, Italy
Duration: Sep 8 1986Sep 10 1986

Publication series

NameProceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1986

Other

Other9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1986
CountryItaly
CityPisa
Period9/8/869/10/86

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ASJC Scopus subject areas

  • Information Systems
  • Software

Cite this

Deogun, J. S., & Raghavan, V. V. (1986). User-oriented document clustering: A framework for learning in information retrieval. In F. Rabitti (Ed.), Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1986 (pp. 157-163). [253202] (Proceedings of the 9th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1986). Association for Computing Machinery, Inc. https://doi.org/10.1145/253168.253202