Improving retrieval performance by relevance feedback

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Improving retrieval performance by relevance feedback (1990)

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by Gerard Salton , Chris Buckley

Venue:	Journal of the American Society for Information Science
Citations:	755 - 6 self

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@ARTICLE{Salton90improvingretrieval,
    author = {Gerard Salton and Chris Buckley},
    title = {Improving retrieval performance by relevance feedback},
    journal = {Journal of the American Society for Information Science},
    year = {1990},
    volume = {41},
    pages = {288--297}
}

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Abstract

Relevance feedback is an automatic process, introduced over 20 years ago, designed to produce improved query formulations following an initial retrieval operation. The principal relevance feedback methods described over the years are examined briefly, and evaluation data are included to demonstrate the effectiveness of the various methods. Prescriptions are given for conducting text re-trieval operations iteratively using relevance feedback. Introduction to Relevance Feedback It is well known that the original query formulation process is not transparent to most information system users. In particular, without detailed knowledge of the collection make-up, and of the retrieval environment, most users find

Keyphrases

relevance feedback retrieval performance initial retrieval operation various method retrieval environment principal relevance feedback method detailed knowledge collection make-up text re-trieval operation evaluation data original query formulation process information system user automatic process improved query formulation

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