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https://issues.apache.org/jira/browse/LUCENE-6968?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15091661#comment-15091661
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Cao Manh Dat edited comment on LUCENE-6968 at 1/11/16 9:25 AM:
---------------------------------------------------------------

This new patch include :
- CosineHashFilter support finding similar documents based on cosine similarity.
- LSH#createSlowQuery + LSHSimilarity which support finding similar documents 
on arbitrary similarity and similar score results.
{quote}
doc1 : "Solr is an open source search engine based on Lucene"
doc2 : "Solr is an open source enterprise search engine based on Lucene"
doc3 : "Solr is an open source enterprise search engine based on Lucene"

When we search for similarity of doc1. The result will contain:

doc1 : score = 100
doc2 : score = 90
doc3 : score = 87
{quote}


was (Author: caomanhdat):
This new patch include :
- CosineHashFilter support finding similar documents based on cosine similarity.
- LSH#createSlowQuery + LSHSimilarity which support finding similar documents 
on arbitrary similarity and similar score results.
{quote}
doc1 : "Solr is an open source search engine based on Lucene"
doc2 : "Solr is an open source enterprise search engine based on Lucene"
doc3 : "Solr is an open source enterprise search engine based on Lucene"

When we search for similarity of doc1. The result will contain:
{quote}
doc1 : score = 100
doc2 : score = 90
doc3 : score = 87
{quote}
{quote}

> LSH Filter
> ----------
>
>                 Key: LUCENE-6968
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6968
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Cao Manh Dat
>         Attachments: 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 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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