Cheshire II at INEX '04: fusion and feedback for the adhoc and heterogeneous tracks

Authors:
Ray R. Larson
Affiliations:
School of Information Management and Systems, University of California, Berkeley, California
Venue:
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Year:
2004

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Abstract

This paper describes the retrieval approach used by UC Berkeley in the adhoc and heterogeneous tracks for the 2004 INEX evaluation. As in previous INEX evaluations, the main technique we are testing is the fusion of multiple probabilistic searches against different XML components using both Logistic Regression (LR) algorithms and a version of the Okapi BM-25 algorithm in conjunction with Boolean constraints for some elements. We also describe some additional experiments, subsequent to INEX that promise further improvements in results.