ArXiv.org · 2009 · 71 citations · 0 references
ComputingComputer ScienceInformation RetrievalNatural Language ProcessingText AnalyticsDocument RepresentationEvaluation Of Retrieval SystemsInformation Retrieval ArchitectureProbabilistic RetrievalQuery ProcessingRetrieval ModelsBm25Bm25 Variant ModelsDocument RetrievalProbabilistic IndexingProbabilistic Retrieval ModelsTrec Evaluation Framework
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.