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Joaquin Perez-Iglesias commented on LUCENE-2091: ------------------------------------------------ Hi Otis, Robert and Yuval. I developed this add-on for Lucene in 2008, for some experiments that I was doing, and I would like to express my impressions about this. In my experience and after reading lot of papers I have never found a case where the Lucene-VSM implementation improves BM25 performance. BM25 (with standard parameters) outperforms Lucene-VSM, moreover a room for improvement exists if the parameters are fixed specifically for the collection. I made publish some results with the Eurogov collection some time ago. I can show you now some experiments with TREC Disk4&5 collection, these results have been obtained with default parameters with the Robust track topics. As you can see BM25 improves the Lucene-VSM ranking function. MAP p...@5 VSM 0.2079 0.4096 BM25 0.2340 0.4578 This implementation is getting more popular and I know that some people is using it on their research, thus it will be really nice if at some point it is included in the core. The only concerns that I have about it, are related with: - Only simple boolean queries based on terms are supported (with operators or, and, not). For instance it does not support PhraseQuery. - IDF cannot be calculated at a document level (this is important for BM25F). - Another issue is related with computing the document average length, but this could be easily solved. These issues are described in detail in the documentation that I made public in my website. Thanks to all for your interest and work. Joaquin Perez-Iglesias > Add BM25 Scoring to Lucene > -------------------------- > > Key: LUCENE-2091 > URL: https://issues.apache.org/jira/browse/LUCENE-2091 > Project: Lucene - Java > Issue Type: New Feature > Components: contrib/* > Reporter: Yuval Feinstein > Priority: Minor > Fix For: 3.1 > > Attachments: persianlucene.jpg > > Original Estimate: 48h > Remaining Estimate: 48h > > http://nlp.uned.es/~jperezi/Lucene-BM25/ describes an implementation of > Okapi-BM25 scoring in the Lucene framework, > as an alternative to the standard Lucene scoring (which is a version of mixed > boolean/TFIDF). > I have refactored this a bit, added unit tests and improved the runtime > somewhat. > I would like to contribute the code to Lucene under contrib. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online. --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org