e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Oct 2018 - Volume 9, Issue 5
Deadline: 30 Sep 2018
Notification: 7 Oct 2018
Publication: 31 Oct 2018

Aug 2018 - Volume 9, Issue 6
Deadline: 30 Nov 2018
Notification: 7 Dec 2018
Publication: 31 Dec 2018

Indexed in

ABSTRACT

Title : A VECTOR SPACE MODEL FOR INFORMATION RETRIEVAL: A MATLAB APPROACH
Authors : A. B. Manwar, Hemant S. Mahalle, K. D. Chinchkhede, Dr. Vinay Chavan
Keywords : tf; idf; vector space model; cosine similarities; term-document; term-query matrices; dot products.
Issue Date : Apr-May 2012
Abstract :
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) : 222-229
ISSN : 0976-5166
Source : Vol. 3, No.2