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Feb 2024 - Volume 16, Issue 1
Deadline: 15 Jan 2025
Publication: 20 Feb 2025
Dec 2024 - Volume 16, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
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A VECTOR SPACE MODEL FOR INFORMATION RETRIEVAL: A MATLAB APPROACH |
Authors |
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A. B. Manwar, Hemant S. Mahalle, K. D. Chinchkhede, Dr. Vinay Chavan |
Keywords |
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tf; idf; vector space model; cosine similarities; term-document; term-query matrices; dot products. |
Issue Date |
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Apr-May 2012 |
Abstract |
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By and large, three classic framework models have been used in the process of retrieving information: Boolean, Vector Space and Probabilistic. Boolean model is a light weight model which matches the query with precise semantics. Because of its boolean nature, results may be tides, missing partial matching, while on the contrary, vector space model, considering term-frequency, inverse document frequency measures, achieves utmost relevancy in retrieving documents in information retrieval. This paper implements and discusses the issues of information retrieval system with vector space model using MATLAB on Cranfield data collection of aerodynamics domain. |
Page(s) |
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222-229 |
ISSN |
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0976-5166 |
Source |
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Vol. 3, No.2 |
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