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https://issues.apache.org/jira/browse/LUCENE-6968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15274697#comment-15274697
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Andy Hind commented on LUCENE-6968:
-----------------------------------
I have attached an updated patch.
This addresses the following issues
# Support for single hash, split into ranges with a minimum for each range
# Remove end to end tests and beefed up unit tests
# Remove Guava in favour of Yonik's murmur hash implementation. (Some
duplication here with SOLR)
# Fixed alignment and "evil" test case issue
# TestFactories passes > 200 times (some Japanese Number tokenisation failures)
# Fixed formatting
There were issue applying patch 4 on its own or over the previous patch. I
believe I have included everything other then the IDE related bits.
> LSH Filter
> ----------
>
> Key: LUCENE-6968
> URL: https://issues.apache.org/jira/browse/LUCENE-6968
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Cao Manh Dat
> Assignee: Tommaso Teofili
> Attachments: LUCENE-6968.4.patch, LUCENE-6968.5.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)
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