A vector space model for automatic indexing.¶
Salton, G., Wong, A., & Yang, C. S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Associative Memory
- Information retrieval: Similarity search returns documents related to a query rather than ones bearing a matching identifier, the entire premise of vector and semantic search as opposed to exact-key database lookup.
This sourceIntroduces the vector-space model in which documents and queries are points in a representational space and retrieval is by similarity rather than exact-key match — the premise of vector and semantic search. SUPPORTS marker 132.
Supported in partVerified against the work's full text
Foundational vector-space paper: documents and queries are compared by similarity in an index space; it does not contrast this with exact-key lookup or mention semantic search.
“thus guaranteeing that each given document may be retrieved when located sufficiently close to a user query”
- Information retrieval: Similarity search returns documents related to a query rather than ones bearing a matching identifier, the entire premise of vector and semantic search as opposed to exact-key database lookup.
Verification¶
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Registry ID ref:ef134c3afba7 · see in the full table