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Posted to issues@solr.apache.org by "Alessandro Benedetti (Jira)" <ji...@apache.org> on 2024/05/31 14:01:00 UTC
[jira] [Assigned] (SOLR-17319) Introduce support for Reciprocal Rank Fusion (combining queries)
[ https://issues.apache.org/jira/browse/SOLR-17319?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alessandro Benedetti reassigned SOLR-17319:
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Assignee: Alessandro Benedetti
> Introduce support for Reciprocal Rank Fusion (combining queries)
> ----------------------------------------------------------------
>
> Key: SOLR-17319
> URL: https://issues.apache.org/jira/browse/SOLR-17319
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Components: query
> Affects Versions: 9.6.1
> Reporter: Alessandro Benedetti
> Assignee: Alessandro Benedetti
> Priority: Major
>
> Reciprocal Rank Fusion (RRF) is an algorithm that takes in input multiple ranked lists to produce a unified result set.
> Examples of use cases where RRF can be used include hybrid search and multiple Knn vector queries executed concurrently.
> RRF is based on the concept of reciprocal rank, which is the inverse of the rank of a document in a ranked list of search results.
> The combination of search results happens taking into account the position of
> the items in the original rankings, and giving higher score to items that are ranked higher in multiple lists. RRF was introduced the first time by Cormack et al. in [1].
> [1] Cormack, Gordon V. et al. “Reciprocal rank fusion outperforms condorcet and individual rank learning methods.” Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (2009)
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