Combining Automatic and Manual Index Representations in Probabilistic Retrieval

Rajashekar, TB and Croft, Bruce W (1995) Combining Automatic and Manual Index Representations in Probabilistic Retrieval. In: Journal of the American Society for Information Science, 46 (4). pp. 272-283.

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Abstract

Results from research in information retrieval suggest that significant improvements in retrieval effectiveness could be obtained by combining results from multiple index representations and query strategies. Recently, an inference network based probabilistic retrieval model has been proposed, which views information retrieval as an evidential reasoning process in which multiple sources of evidence about document and query content are combined to estimate the relevance probabilities. In this paper we report a series of experiments we conducted using a specific implementation of this model to study the retrieval effectiveness of combining manaul and automatic index representations in queries and documents. The results indicate that significant benefits in retrieval effectiveness can be obtained through combined representations.

Item Type:	Journal Article
Publication:	Journal of the American Society for Information Science
Publisher:	American Society for Information Science
Keywords:	Information Retrieval;Probabilistic Retrieval;Inference Networks
Department/Centre:	Division of Information Sciences (Doesn't exist now) > National Centre for Science Information (Merged with JRD Library in May 2012)
Date Deposited:	05 Jul 2004
Last Modified:	19 Sep 2010 04:13
URI:	http://eprints.iisc.ac.in/id/eprint/506

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