ERIC Number: ED096986
Record Type: Non-Journal
Publication Date: 1974
Pages: 16
Abstractor: N/A
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
A Vector Space Model for Automatic Indexing.
Salton, G.; And Others
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; 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. (Author)
Descriptors: Automatic Indexing, Information Retrieval, Information Science, Information Theory, Models, Thesauri
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: Cornell Univ., Ithaca, NY. Dept. of Computer Science.
Grant or Contract Numbers: N/A
Author Affiliations: N/A