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https://issues.apache.org/jira/browse/LUCENE-6968?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cao Manh Dat updated LUCENE-6968:
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Description:
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)
was:
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 we return only docs 1,2 and 3 (MoreLikeThis will also return doc 4)
> 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
>
>
> 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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