Title
Fusion of effective retrieval strategies in the same information retrieval system
Abstract
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 retrieval system. From this, we show that data fusion of highly effective retrieval strategies alone shows little or no improvement in retrieval effectiveness. Furthermore, we present a detailed analysis of the performance of modern data fusion approaches, and demonstrate the reasons why they do not perform well when applied to this problem. Detailed results and analyses are included to support our conclusions.
Year
DOI
Venue
2004
10.1002/asi.20012
JASIST
Keywords
Field
DocType
distinct information retrieval system,data fusion,information retrieval system,single information retrieval system,certain situations retrieval effectiveness,retrieval effectiveness,data fusion technique,fusing different document retrieval,effective retrieval strategy,modern data fusion approach,document retrieval
Information system,Data mining,Relevance feedback,Information retrieval,Computer science,Phrase,Sensor fusion,Document retrieval,Parsing,Term Discrimination,Adversarial information retrieval
Journal
Volume
Issue
ISSN
55
10
1532-2882
Citations 
PageRank 
References 
38
1.76
28
Authors
6
Name
Order
Citations
PageRank
Steven M. Beitzel169646.72
Eric C. Jensen269646.72
Abdur Chowdhury32013160.59
David Grossman452534.73
Ophir Frieder53300419.55
Nazli Goharian646049.93