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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6057
Title: A Vector Space Model for Automatic Indexing
Authors: Salton, Gerard
Wong, A.
Yang, C. S.
Keywords: computer science
technical report
Issue Date: Jul-1974
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR74-218
Abstract: In a document retieval, or other pattern matching environment where stored entities (documents) are compared with each other, or with incoming patterns (search requests), it appears that the best indexing (property) space is one where each entity lies as far away from the others as possible; that is, retrieval performance correlates inversely with space density. This result is used to choose an optimum indexing vocabulary for a collection of documents. Typical evaluation results are shown demonstrating the usefulness of the model.
URI: http://hdl.handle.net/1813/6057
Appears in Collections:Computer Science Technical Reports

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