hi mark,
> Does your index use StandardAnalyzer? Are your fields stored
> (Field.Store.YES)?
Thanks! that was the hint in the right direction, the FIeld was Stored
but not indexed:
titleDocument.add(new Field("kurz", title.getKurz(), Field.Store.YES,
Field.Index.NO));
(That was the field for the short description of a document)
If I set the Fieldname to another Field (indexed with StandardAnalyzer)
which is Indexed (but not Stored) it works if I use the
like(StringReader ) Method but not with like(int docid).
This Code works:
MoreLikeThis mlt = new MoreLikeThis(this.ir);
mlt.setFieldNames( new String[] {"freitext"} );
mlt.setMinDocFreq(0);
Query query = mlt.like(new
StringReader(hits.doc(0).getField("kurz").stringValue()));
System.out.println("QUERY:"+query);
but it doesn't Work with mlt.like( hits.id(0) ); - I think because the
like method uses then the unstored "freitext" Field?
However that works for me because I can get the Document-Data from the
Database and use the like(StringReader) method.
The generated MLT-Query gets very specific so it only finds the same
Doc. Do you have any hints with which parameters I should start to play
to get the query more general? Perhaps setMaxQueryTerms?
>
> MoreLikeThis uses StandardAnalyzer by default to read the stored content from
> the example doc which may produce tokens that do not match those of the
> indexed content. Use setAnalyzer() to ensure they are in sync.
>
>
>
>
> ----- Original Message ----
> From: Martin Braun <[EMAIL PROTECTED]>
> To: java-user@lucene.apache.org
> Sent: Friday, 21 July, 2006 11:09:40 AM
> Subject: Re: Problem finding similar documents with MoreLikeThis method.
>
> Hello,
>
> inspired by this thread, I also tried to implement a MoreLikeThis
> search. But I have the same Problem of a null query.
>
> I did set the Fieldname to a Field that is stored in the Index.
> But "like" just returns null.
>
> Here is my Code:
>
> Hits hits = this.is.search(new TermQuery(new Term("katkey",
> Katkey)));
> System.out.println("DOCID:"+hits.id(0));
>
> System.out.println("hits:"+hits.doc(0).getField("kurz").stringValue() );
> MoreLikeThis mlt = new MoreLikeThis(this.ir);
> mlt.setFieldNames( new String[] {"kurz"} );
> mlt.setMinDocFreq(0);
> Query query = mlt.like( hits.id(0) );
> System.out.println("QUERY:"+query);
> return this.query(query.toString(),0,10,0);
>
>
> The Field "kurz" contains the following String:
>
> 003481627 M <v>Swinton, Elizabeth DeSabato</v>: <a>¬The¬
> graphic art of Onchi Koshiro</a> : innovation and tradition / Elizabeth
> de Sab
> ato Swinton
> New York [u.a.]: Garland, <b>1986</b>. - XXVIII, 307, |<180>| S. :
> zahlr. Ill.
> ISBN 0-8240-6868-8
>
>
> Any Ideas?
>
> thanks in advance,
> martin
>
>
> Davide schrieb:
>> mark harwood wrote:
>>> Does your index have only the one document?
>>>
>>> MoreLikeThis will only generate queries with terms that occur in more than
>>> "minDocFreq" (default setting is 5).
>>>
>>> This is to avoid the large overheads associated with searching for very
>>> common words in your example text.
>>>
>>>
>>>
>> Thanks very much Mark.
>> I have specified:
>>
>> setMinDocFreq(0);
>>
>> for testing and It works... the query now isn't empty and the search
>> return a document...
>> So I think that the "problem" was that...
>>
>> Thank you
>> Davide.
>>
>>
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: [EMAIL PROTECTED]
>> For additional commands, e-mail: [EMAIL PROTECTED]
>>
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: [EMAIL PROTECTED]
> For additional commands, e-mail: [EMAIL PROTECTED]
>
>
>
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: [EMAIL PROTECTED]
> For additional commands, e-mail: [EMAIL PROTECTED]
>
--
Universitaetsbibliothek Heidelberg Tel: +49 6221 54-2580
Ploeck 107-109, D-69117 Heidelberg Fax: +49 6221 54-2623
---------------------------------------------------------------------
To unsubscribe, e-mail: [EMAIL PROTECTED]
For additional commands, e-mail: [EMAIL PROTECTED]
