[ https://issues.apache.org/jira/browse/LUCENE-6968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15329205#comment-15329205 ]
ASF subversion and git services commented on LUCENE-6968: --------------------------------------------------------- Commit 82a9244193ba948142b834ec08e2de0d98cfba9f in lucene-solr's branch refs/heads/master from [~teofili] [ https://git-wip-us.apache.org/repos/asf?p=lucene-solr.git;h=82a9244 ] LUCENE-6968 - MinHash filter, thanks to Andy Hind and Cao Manh Dat for patches > LSH Filter > ---------- > > Key: LUCENE-6968 > URL: https://issues.apache.org/jira/browse/LUCENE-6968 > Project: Lucene - Core > Issue Type: Improvement > Components: modules/analysis > Reporter: Cao Manh Dat > Assignee: Tommaso Teofili > Fix For: master (7.0) > > Attachments: LUCENE-6968.4.patch, LUCENE-6968.5.patch, > LUCENE-6968.6.patch, LUCENE-6968.patch, LUCENE-6968.patch, LUCENE-6968.patch > > > I'm planning to implement LSH. Which support query like this > {quote} > Find similar documents that have 0.8 or higher similar score with a given > document. Similarity measurement can be cosine, jaccard, euclid.. > {quote} > For example. Given following corpus > {quote} > 1. Solr is an open source search engine based on Lucene > 2. Solr is an open source enterprise search engine based on Lucene > 3. Solr is an popular open source enterprise search engine based on Lucene > 4. Apache Lucene is a high-performance, full-featured text search engine > library written entirely in Java > {quote} > We wanna find documents that have 0.6 score in jaccard measurement with this > doc > {quote} > Solr is an open source search engine > {quote} > It will return only docs 1,2 and 3 (MoreLikeThis will also return doc 4) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org