A vector space model for automatic indexing

Gerard Salton; Anita M.-Y. Wong; Chul‐Su Yang · Communications of the ACM · 1975

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Author / responsible party

Gerard Salton; Anita M.-Y. Wong; Chul‐Su Yang

Publisher

Communications of the ACM

Year

1975

Language

English

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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.

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APA 7

Salton, G, Wong, A. M. Y, & Yang, C. (1975). A vector space model for automatic indexing. https://doi.org/10.1145/361219.361220

MLA

Salton, Gerard, et al. "A vector space model for automatic indexing." 1975. https://doi.org/10.1145/361219.361220.

Chicago

Salton, Gerard, Anita M.-Y. Wong, and Chul‐Su Yang. 1975. "A vector space model for automatic indexing.". https://doi.org/10.1145/361219.361220.

Harvard

Salton, G, Wong, A. M. Y. and Yang, C. 1975, A vector space model for automatic indexing, Communications of the ACM, available at: https://doi.org/10.1145/361219.361220 [Accessed 6 Aug. 2026].

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Resource details

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Title: A vector space model for automatic indexing

Author / contributors: Gerard Salton; Anita M.-Y. Wong; Chul‐Su Yang

Publisher: Communications of the ACM

Publication year: 1975

Language: English

Subjects

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Search engine indexing; Vector space model; Computer science; Space (punctuation); Information retrieval; Matching (statistics); Property (philosophy); Computation; Function (biology); Data mining; Algorithm; Mathematics