Vector Space Basis Change in Information Retrieval

Authors

  • Rabeb Mbarek High Institute of Computer Science and Multimedia, University of Sfax
  • Mohamed Tmar High Institute of Computer Science and Multimedia, University of Sfax
  • Hawete Hattab Umm Al-Qura University Makkah

DOI:

https://doi.org/10.13053/cys-18-3-2028

Keywords:

Vector space model, Vector space basis change, VSBC-based model, Relevance feedback

Abstract

The Vector Space Basis Change (VSBC)is the algebraic operator responsible for change ofbasis and it is parameterized by a transition matrix. Ifwe change the vector space basis, then each vectorcomponent changes depending on this matrix. Thestrategy of VSBC has been shown to be effectivein separating relevant document and irrelevant ones.Recently, using this strategy, some feedback algorithmshave been developed. To build a transition matrix someoptimisation methods have been used. In this paper, wepropose to use a simple, convenient and direct methodto build a transition matrix. Based on this method wedevelop a relevance feedback algorithm. Experimentalresults on a TREC collection show that our proposedmethod is effective and generally superior to knownVSBC-based models. We also show that our proposedmethod gives a statistically significant improvement overthese models.

Author Biographies

Rabeb Mbarek, High Institute of Computer Science and Multimedia, University of Sfax

received a Master degree in ComputerScience from the High Institute of ComputerScience and Multimedia, University of Sfax,Tunisia. She is a member of Multimedia Informationsystems and Advanced Computing Laboratory.Currently she is a Ph.D student. Her research interestsare information retrieval, query optimizationand language modeling.

Mohamed Tmar, High Institute of Computer Science and Multimedia, University of Sfax

holds Ph.D. in Computer Science,University of Paul Sabatier, Toulouse, France(2002). He is a member of Multimedia Informationsystems and Advanced Computing Laboratory,Sfax, Tunisia. His research interests are informationretrieval, information filtering, XML and multimediaretrieval, query optimization and languagemodeling.

Hawete Hattab, Umm Al-Qura University Makkah

has Ph.D. in Mathematics fromthe Sfax University (2004). He is an AssociateProfessor at Umm Al-Qura University, Departmentof Mathematics. He is a member of Dynamical Systemsand Combinatory Laboratory, Sfax, Tunisia.His main research interests are dynamical systemsand information systems.

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Published

2014-09-29

Issue

Vol. 18 No. 3 (2014): 18(3) 2014 Thematic issue: Computational linguistics (Guest editor: Alexander Gelbukh)

Section

Articles

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