Weighting, ranking and relevance feedback in a front—end system
- 1 February 1986
- journal article
- research article
- Published by SAGE Publications in Journal of Information Science
- Vol. 12 (1-2) , 71-75
- https://doi.org/10.1177/016555158601200112
Abstract
A prototype front-end system—Cirt—which permits weighting, ranking and relevance feedback on a traditional IR system—Data—Star—is described and discussed. Cirt is based on an integrated theory of search term weighting, document ranking and modification of weights based on relevance feed back. Previous laboratory tests on various aspects of the theory have led to the need for further evaluation in an operational environment; the intention of Cirt is to make such evaluation possible. The operating environment is described and the de sign of the system is discussed, including the machine to machine host/front-end dialogue, the user interface and some aspects of the programming. A project currently under way to evaluate Cirt against traditional retrieval methods under oper ational conditions is described. The article concludes with a brief word on the future prospects for this type of retrieval.Keywords
This publication has 4 references indexed in Scilit:
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- USING PROBABILISTIC MODELS OF DOCUMENT RETRIEVAL WITHOUT RELEVANCE INFORMATIONJournal of Documentation, 1979
- SEARCH TERM RELEVANCE WEIGHTING GIVEN LITTLE RELEVANCE INFORMATIONJournal of Documentation, 1979
- AN EVALUATION OF FEEDBACK IN DOCUMENT RETRIEVAL USING CO‐OCCURRENCE DATAJournal of Documentation, 1978