Artículos regulares

 

Vector Space Basis Change in Information Retrieval

 

Rabeb Mbarek¹, Mohamed Tmar¹, and Hawete Hattab²

 

¹ Multimedia Information Systems and Advanced Computing Laboratory, High Institute of Computer Science and Multimedia, University of Sfax, Sfax, Tunisia. rabeb.hattab@gmail.com, mohamedtmar@yahoo.fr

² Umm Al-Qura University, Makkah, Saudi Arabia. hattab.hawete@yahoo.fr.

 

Article received on 07/01/2014.
Accepted on 30/01/2014.

 

Abstract

The Vector Space Basis Change (VSBC) is an algebraic operator responsible for change of basis and it is parameterized by a transition matrix. If we change the vector space basis, then each vector component changes depending on this matrix. The strategy of VSBC has been shown to be effective in separating relevant documents and irrelevant ones. Recently, using this strategy, some feedback algorithms have been developed. To build a transition matrix some optimization methods have been used. In this paper, we propose to use a simple, convenient and direct method to build a transition matrix. Based on this method we develop a relevance feedback algorithm. Experimental results on a TREC collection show that our proposed method is effective and generally superior to known VSBC-based models. We also show that our proposed method gives a statistically significant improvement over these models.

Keywords: Vector space model, vector space basis change, VSBC-based model, relevance feedback.

 

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