New Term Weighting Formulas for the Vector Space Method in Information Retrieval | Zendy

E. Chisholm | Zendy; Tamara G. Kolda | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

New Term Weighting Formulas for the Vector Space Method in Information Retrieval

Author(s) -

E. Chisholm,

Tamara G. Kolda

Publication year - 1999

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/5698

Subject(s) - weighting , term (time) , vector space model , computer science , space (punctuation) , information retrieval , vector space , data mining , scheme (mathematics) , term discrimination , function (biology) , mathematics , search engine , web search query , concept search , physics , quantum mechanics , operating system , medicine , mathematical analysis , geometry , evolutionary biology , biology , radiology

The goal in information retrieval is to enable users to automatically and accurately find data relevant to their queries. One possible approach to this problem i use the vector space model, which models documents and queries as vectors in the term space. The components of the vectors are determined by the term weighting scheme, a function of the frequencies of the terms in the document or query as well as throughout the collection. We discuss popular term weighting schemes and present several new schemes that offer improved performance

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research