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From "David Smiley (JIRA)" <j...@apache.org>
Subject [jira] Commented: (SOLR-1316) Create autosuggest component
Date Tue, 01 Jun 2010 14:24:52 GMT

    [ https://issues.apache.org/jira/browse/SOLR-1316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12874026#action_12874026
] 

David Smiley commented on SOLR-1316:
------------------------------------

(re-post)
For auto-complete, I use Solr's faceting via facet.prefix as described in the Solr book which
I authored. How does this approach differ from that? I suspect that the use of radix-trees
and what-not as described here will result in less memory (RAM) requirements. It would be
interesting to see rough RAM requirements for the facet prefix approach based on the number
of distinct terms... though only a fraction of the term space ends up being auto-completed.

> Create autosuggest component
> ----------------------------
>
>                 Key: SOLR-1316
>                 URL: https://issues.apache.org/jira/browse/SOLR-1316
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>    Affects Versions: 1.4
>            Reporter: Jason Rutherglen
>            Assignee: Shalin Shekhar Mangar
>            Priority: Minor
>             Fix For: Next
>
>         Attachments: SOLR-1316.patch, SOLR-1316.patch, SOLR-1316.patch, SOLR-1316.patch,
SOLR-1316.patch, SOLR-1316.patch, suggest.patch, suggest.patch, suggest.patch, TST.zip
>
>   Original Estimate: 96h
>  Remaining Estimate: 96h
>
> Autosuggest is a common search function that can be integrated
> into Solr as a SearchComponent. Our first implementation will
> use the TernaryTree found in Lucene contrib. 
> * Enable creation of the dictionary from the index or via Solr's
> RPC mechanism
> * What types of parameters and settings are desirable?
> * Hopefully in the future we can include user click through
> rates to boost those terms/phrases higher

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