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On Fusion of Effective Retrieval Strategies in the Same Information Retrieval System
 

Summary: On Fusion of Effective Retrieval Strategies in the Same Information
Retrieval System
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, David Grossman, Ophir Frieder, Nazli Goharian
Information Retrieval Laboratory, Illinois Institute of Technology, Chicago, IL 60616
{steve,ej,abdur,dagr,ophir,nazli}@ir.iit.edu
Prior efforts have shown that under certain
situations, retrieval effectiveness may be
improved via the use of data fusion techniques.
Although these improvements have been
observed from the fusion of result sets from
several distinct information retrieval systems, it
has often been thought that fusing different
document retrieval strategies in a single
information retrieval system will lead to similar
improvements. In this study, we show that this
is not the case. We hold constant systemic
differences such as parsing, stemming, phrase
processing, and relevance feedback, and fuse
result sets generated from highly effective
retrieval strategies in the same information

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology

 

Collections: Computer Technologies and Information Sciences