A vector space model for automatic indexing

@article{Salton1975AVS,
  title={A vector space model for automatic indexing},
  author={G. Salton and A. Wong and C. Yang},
  journal={Commun. ACM},
  year={1975},
  volume={18},
  pages={613-620}
}
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. [...] Key Method 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.Expand
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References

SHOWING 1-7 OF 7 REFERENCES
Contribution to the Theory of Indexing
TLDR
An attempt is made to characterize the usefulness of terms occurring in stored documents and user queries as a function of their frequency characteristics across the documents of a collection, and an indexing theory is described based on term frequency considerations. Expand
On the Specification of Term Values in Automatic Indexing
TLDR
It is shown that the standard theories for the specification of term values (or weights) are not adequate, and new techniques are introduced for the assignment of weights to index terms, based on the characteristics of individual document collections. Expand
A statistical interpretation of term specificity and its application in retrieval
TLDR
It is argued that terms should be weighted according to collection frequency, so that matches on less frequent, more specific, terms are of greater value than matches on frequent terms. Expand
A theory of indexing
  • G. Salton
  • Computer Science
  • Regional conference series in applied mathematics
  • 1975
An investigation of the effects of different indexing methods on the document space configuration
  • Computer Sci. Dep
  • 1974
Real-time document retrieval
  • Ph.D. Th., Computer Sci. Dep., Cornell U
  • 1974
Automatic btformation Organiza;ion and Retrieval
  • Automatic btformation Organiza;ion and Retrieval
  • 1968