Ranking and Fusion Approaches for XML Book Retrieval
Identifieur interne : 000687 ( Main/Exploration ); précédent : 000686; suivant : 000688Ranking and Fusion Approaches for XML Book Retrieval
Auteurs : R. Larson [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: For INEX 2009 UC Berkeley focused on the Book track and all of our submissions were for that track. We tried a variety of different approaches for our Book Track runs, the TREC2 logistic regression probabilistic model used in previous INEX Book Track submissions as well as various fusion approaches including use of the Okapi BM-25 algorithm. This paper focusses on the approaches used in the various runs submitted, and shows the preliminary results from the book search evaluation.
Url:
DOI: 10.1007/978-3-642-14556-8_19
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: For INEX 2009 UC Berkeley focused on the Book track and all of our submissions were for that track. We tried a variety of different approaches for our Book Track runs, the TREC2 logistic regression probabilistic model used in previous INEX Book Track submissions as well as various fusion approaches including use of the Okapi BM-25 algorithm. This paper focusses on the approaches used in the various runs submitted, and shows the preliminary results from the book search evaluation.</div>
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