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Posted to solr-dev@lucene.apache.org by "Andrzej Bialecki (JIRA)" <ji...@apache.org> on 2009/11/12 17:19:39 UTC
[jira] Updated: (SOLR-1316) Create autosuggest component
[ https://issues.apache.org/jira/browse/SOLR-1316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrzej Bialecki updated SOLR-1316:
------------------------------------
Attachment: suggest.patch
Updated patch that includes the new TST sources. Tests on a 100k-words dictionary yield very similar results for the TST and Jaspell implementations, i.e. the initial build time is around 600ms, and then the lookup time is around 4-7ms for prefixes that yield more than 100 results.
To test it put this in your solrconfig.xml:
{code:xml}
<searchComponent name="spellcheck" class="solr.SpellCheckComponent">
<lst name="spellchecker">
<str name="name">suggest</str>
<str name="classname">org.apache.solr.spelling.suggest.Suggester</str>
<str name="lookupImpl">org.apache.solr.spelling.suggest.jaspell.JaspellLookup</str>
<str name="field">text</str>
<str name="sourceLocation">american-english</str>
</lst>
</searchComponent>
...
{code}
And then use e.g. the following parameters:
{noformat}
spellcheck=true&spellcheck.build=true&spellcheck.dictionary=suggest& \
spellcheck.extendedResults=true&spellcheck.count=100&q=test
{noformat}
> 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
> Priority: Minor
> Fix For: 1.5
>
> Attachments: 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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