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A Vector Space Model for Automatic Indexing

Resource type
Authors/contributors
Title
A Vector Space Model for Automatic Indexing
Abstract
In a document retrieval, 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; in these circumstances the value of an indexing system may be expressible as a function of the density of the object space; in particular, retrieval performance may correlate inversely with space density. An approach based on space density computations is used to choose an optimum indexing vocabulary for a collection of documents. Typical evaluation results are shown, demonstating the usefulness of the model.
Publication
Commun. ACM
Volume
18
Issue
11
Pages
613–620
Date
November 1975
Language
en
DOI
10.1145/361219.361220
ISSN
0001-0782
Accessed
2017-11-08T22:43:01Z
Library Catalog
ACM Digital Library
Citation
Salton, G., Wong, A., & Yang, C. S. (1975). A Vector Space Model for Automatic Indexing. Commun. ACM, 18(11), 613–620. https://doi.org/10.1145/361219.361220
Field of study
Type of contribution