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2009

Integrating the Probabilistic Models BM25/BM25F into Lucene

Pérez-Iglesias, Joaquín, Pérez-Agüera, José R., Fresno, Víctor et al.

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This document describes the BM25 and BM25F implementation using the Lucene Java Framework.

Both models have stood out at TREC by their performance and are considered as state-of-the-art in the IR community.
BM25 is applied to retrieval on plain text documents, that is for documents that do not contain fields, while BM25F is applied to documents with structure.

Integrating the Probabilistic Models BM25/BM25F into Lucene · Around

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Stephen Robertson, Hugo Zaragoza The Probabilistic Relevance Model: BM25 and beyond
2007
Earlier work this paper cites.
Doron Cohen, Einat Amitay and David Carmel Lucene and Juru at TREC 2007: 1-Million Queries Track
2007
Earlier work this paper cites.

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Integrating BM25 & BM25F into Lucene
2008
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Website. http://lucene.apache.org/java/docs/
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Integrating BM25 & BM25F into Lucene - Javadoc
2008
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