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From "Andrzej Bialecki (JIRA)" <j...@apache.org>
Subject [jira] Updated: (SOLR-1316) Create autosuggest component
Date Mon, 31 May 2010 09:58:50 GMT

     [ https://issues.apache.org/jira/browse/SOLR-1316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Andrzej Bialecki  updated SOLR-1316:
------------------------------------

    Attachment: SOLR-1316.patch

I modified the benchmark slightly - it takes much longer to execute, but results are more
stable across runs.

{code}
TSTLookup - size=53453696
JaspellLookup - size=81078997
* Running 100 iterations for JaspellLookup ...
  - warm-up 10 iterations...
  - main iterations: 10 20 30 40 50 60 70 80 90
JaspellLookup: buildTime[ms]=412 lookupTime[ms]=1030
* Running 100 iterations for TSTLookup ...
  - warm-up 10 iterations...
  - main iterations: 10 20 30 40 50 60 70 80 90
TSTLookup: buildTime[ms]=405 lookupTime[ms]=288
{code}

At this point I think we are making only minor incremental improvements, so if people  feel
this is a useful component ni its current shape then  I propose to commit it.

> 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, 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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