Assessing the term independence assumption in blind relevance feedback

Authors:
Jimmy Lin;G. Craig Murray
Affiliations:
University of Maryland, College Park, MD;University of Maryland, College Park, MD
Venue:
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2005

Citing 3
Cited 3

A corpus analysis approach for automatic query expansion and its extension to multiple databases

ACM Transactions on Information Systems (TOIS)
Improving the effectiveness of information retrieval with local context analysis

ACM Transactions on Information Systems (TOIS)
An information-theoretic approach to automatic query expansion

ACM Transactions on Information Systems (TOIS)

Improving MEDLINE document retrieval using automatic query expansion

ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
On the query reformulation technique for effective MEDLINE document retrieval

Journal of Biomedical Informatics
A Survey of Automatic Query Expansion in Information Retrieval

ACM Computing Surveys (CSUR)

Quantified Score

Hi-index	0.00

Visualization

Abstract

When applying blind relevance feedback for ad hoc document retrieval, is it possible to identify, a priori, the set of query terms that will most improve retrieval performance? Can this complex problem be reduced into the simpler one of making independent decisions about the performance effects of each query term? Our experiments suggest that, for the selection of terms for blind relevance feedback, the term independence assumption may be empirically justified.