MoreLikeThis essentially shortlists a large list of terms (found in example
text or an existing doc) and uses them in a query.
To see what terms have been shortlisted try calling query.rewrite(reader) and
then call toString() or extractTerms.
If this reveals no terms try using a debugger which should help you step
through MLT's shortlisting logic and reveal the issue (e.g. can't find
TermVector or all terms are greater than chosen doc frequency setting).
----- Original Message ----
From: davood <[EMAIL PROTECTED]>
To: java-user@lucene.apache.org
Sent: Monday, 1 September, 2008 14:16:42
Subject: Re: MoreLikeThis return no results
Hi,
I enabled the TermVector for required fields using following piece of code,
Field titleField = new Field("title", title, Field.Store.NO,
Field.Index.TOKENIZED, TermVector.YES);
and then re-indexed it. But again it shows no result.
I checked the stored documents and they TermVector exists and si correct but
morelikethis return no result for a given document id.
What am I missing?
mark harwood wrote:
>
> MoreLikeThis needs to find the terms in your doc. It tries to do this by
> using TermFreqVectors which are stored in the index if you choose to add
> them at index-time. If you haven't done this then it will fall back to
> reanalysing the content of the document usings an analyser (despite what
> the javadocs for the setAnalyzer method say about not needing to set an
> analyzer when MoreLiking an existing document).
>
> So your options are probably to re-index with term vectors turned on or
> set an appropriate choice of analyzer.
>
> Cheers,
> Mark
> (only 3 days to go until Tom Roberts is back in the office! )
>
--
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