[jira] Updated: (LUCENE-1417) Allowing for distance measures that incorporate frequency/popularity for SuggestWord comparison

["Otis Gospodnetic (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/LUCENE-1417?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Otis Gospodnetic updated LUCENE-1417:
-------------------------------------

    Priority: Minor  (was: Major)

I agree with Grant.  I like that we not have pluggable distance metric, for example.

> Allowing for distance measures that incorporate frequency/popularity for SuggestWord comparison
> -----------------------------------------------------------------------------------------------
>
>                 Key: LUCENE-1417
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1417
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: contrib/spellchecker
>    Affects Versions: 2.4
>            Reporter: Jason Rennie
>            Priority: Minor
>   Original Estimate: 4h
>  Remaining Estimate: 4h
>
> Spelling suggestions are currently ordered first by a string edit distance measure, then by popularity/frequency.  This limits the ability of popularity/frequency to affect suggestions.  I think it would be better for the distance measure to accept popularity/frequency as an argument and provide a distance/score that incorporates any popularity/frequency considerations.  I.e. change StringDistance.getDistance to accept an additional argument: frequency of the potential suggestion.
> The new SuggestWord.compareTo function would only order by score.  We could achieve the existing behavior by adding a small inverse frequency value to the distances.

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