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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6379
Title: Boolean Query Formulation with Relevance Feedback
Authors: Salton, Gerard
Fox, Edward A.
Buckley, Chris
Voorhees, Ellen M.
Keywords: computer science
technical report
Issue Date: Jan-1983
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR83-539
Abstract: The well-known relevance feedback process uses information extracted from previously retrieved relevant documents to generate improved search formulations for subsequent search iterations. Methods are outlined in this study for the automatic generation of Boolean search statements based on the natural language texts of initially available search requests and of previously retrieved document excerpts identified as relevant by the user population. The search requests are generated both in a conventional Boolean system and in an extended system in which the normal interpretation of the Boolean connectives is relaxed. Experimental output is included which shows that substantial improvements in retrieval effectiveness are obtainable using the automatic relevance feedback methods.
URI: http://hdl.handle.net/1813/6379
Appears in Collections:Computer Science Technical Reports

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