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From "Joel Bernstein (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-6088) Add query re-ranking with the ReRankingQParserPlugin
Date Sun, 18 May 2014 21:52:58 GMT

     [ https://issues.apache.org/jira/browse/SOLR-6088?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joel Bernstein updated SOLR-6088:
---------------------------------

    Description: 
This ticket introduces the ReRankingQParserPlugin which adds query Reranking/Rescoring for
Solr. It leverages the new RankQuery framework to plug-in the new Lucene QueryRescorer.

See ticket LUCENE-5489 for details on the use case.

Sample syntax:
{code}
q={!rerank mainQuery=$qq reRankQuery=$rqq reRankDocs=200}
{code}
In the example above the mainQuery is executed and 200 docs are collected and re-ranked based
on the results of the reRankQuery. 





  was:
This ticket introduces the ReRankingQParserPlugin which adds query Reranking/Rescoring for
Solr. It leverages the new RankQuery framework to plug-in the new Lucene QueryRescorer.

See ticket LUCENE-5489 for details on the use case.

Sample syntax:

q={!rerank mainQuery=$qq reRankQuery=$rqq reRankDocs=200}

In the example above the mainQuery is executed and 200 docs are collected and re-ranked based
on the results of the reRankQuery. 






> Add query re-ranking with the ReRankingQParserPlugin
> ----------------------------------------------------
>
>                 Key: SOLR-6088
>                 URL: https://issues.apache.org/jira/browse/SOLR-6088
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>            Reporter: Joel Bernstein
>         Attachments: SOLR-6088.patch
>
>
> This ticket introduces the ReRankingQParserPlugin which adds query Reranking/Rescoring
for Solr. It leverages the new RankQuery framework to plug-in the new Lucene QueryRescorer.
> See ticket LUCENE-5489 for details on the use case.
> Sample syntax:
> {code}
> q={!rerank mainQuery=$qq reRankQuery=$rqq reRankDocs=200}
> {code}
> In the example above the mainQuery is executed and 200 docs are collected and re-ranked
based on the results of the reRankQuery. 



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