What is recorded here?
Introduced latent semantic analysis for automatic indexing and retrieval by applying singular-value decomposition to term-document data and comparing queries and documents in a reduced factor space.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the exact five-author 1990 paper. It does not absorb all matrix factorization, probabilistic latent semantic indexing, later topic models or universal semantic interpretation claims.
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People and systems
Scott Deerwester; Susan T. Dumais; George W. Furnas; Thomas K. Landauer; Richard Harshman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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Documented countries / regions: United States, Canada
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English catalogue narrative
Deerwester and colleagues: indexing by latent semantic analysis
Introduced latent semantic analysis for automatic indexing and retrieval by applying singular-value decomposition to term-document data and comparing queries and documents in a reduced factor space.
Scientific scope
The record is the exact five-author 1990 paper. It does not absorb all matrix factorization, probabilistic latent semantic indexing, later topic models or universal semantic interpretation claims.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Scott Deerwester; Susan T. Dumais; George W. Furnas; Thomas K. Landauer; Richard Harshman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.