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Posted to dev@lucene.apache.org by "Alon Lanyado (JIRA)" <ji...@apache.org> on 2013/07/13 22:41:48 UTC
[jira] [Updated] (SOLR-5038) Diversity Search Result In Rank
[ https://issues.apache.org/jira/browse/SOLR-5038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alon Lanyado updated SOLR-5038:
-------------------------------
Component/s: (was: MoreLikeThis)
> Diversity Search Result In Rank
> -------------------------------
>
> Key: SOLR-5038
> URL: https://issues.apache.org/jira/browse/SOLR-5038
> Project: Solr
> Issue Type: New Feature
> Components: SearchComponents - other
> Environment: irelevant
> Reporter: Alon Lanyado
> Labels: features
> Original Estimate: 120h
> Remaining Estimate: 120h
>
> We would like to add a Diversity SearchComponent/RequestHandler for Solr.
> We will implement MMR(Maximal Marginal Relevance) which is one of the simplest algorithms for this problem, in the next version we will improve it.
> The Idea is that you have a lot of similar documents in your search result (duplicates and near-duplicates that you must index) and the rank is showing all those documents one by one - it's a very common problem for organizations.
> We need to return a bigger list of documents from the searcher (a parameter need to be chosen based on system performance) run MMR calculation in their scoring:
> lamda * OldRank + (1-lamda)*min_similarity{similarity of current document to the subset of documents already chosen to return in search results}
> lamda is parameter between 0-1 - the strong of the diversity.
> min_similarity is calculated based on lucene default similarity (TF-IDF) for the subset of already chosen documents.
> The new score will represent a combination of relevance score and diversity from other documents.
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