Effect of Weight Assignment in Data Fusion Based Information Retrieval
Krishnan Batri1, Veerasamy Murugesh2 and Nagammapudur Gopalan3
1Department of Computer Engineering, European
University of Lefke, Turkey
2Department of Microsoft Information Technology, Keimyung University,
Republic of Korea
3Department of Computer Applications, National Institute of
Technology, India
Abstract: Variation in performances
of an Information Retrieval system, which merges results from a number of
retrieval schemes possessing equal and unequal weights, is studied in this
paper. Weight of the retrieval schemes for a particular document is derived
from the relevance scores of that corresponding document. Since, the relevance
scores are varying from document to document and corpus to corpus, the method
proposed is dynamic. A number of weight calculation methods, which are using
the error value for computation purpose, are discussed in this paper. The
effectiveness of the weight calculation is tested over three benchmark test collections
viz., ADI, CISI and MED. It has been identified that the methods discussed in
this paper retrieve articles effectively and they are independent of history or
any training data.
Keywords: Data fusion, information retrieval, relevance score, similarity measure, and weight assignment.
Received September 16, 2008; accepted August 3, 2009