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From: Siraj Haider <siraj@jobdiva.com>
To: "java-user@lucene.apache.org" <java-user@lucene.apache.org>
CC: "simon.willnauer@gmail.com" <simon.willnauer@gmail.com>
Date: Tue, 23 Oct 2012 18:05:51 -0400
Subject: RE: Scoring based on document
Thread-Topic: Scoring based on document
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Thanks for the suggestion, but in that scenario, I would lose the ability t=
o search on individual fields, i.e. I would not be able to search on title =
field only, and would end up with results where the searched term might be =
in the description field.

regards
-Siraj
(212) 306-0154

-----Original Message-----
From: selvakumar netaji [mailto:vvekselva.gm@gmail.com]
Sent: Tuesday, October 23, 2012 1:58 PM
To: java-user@lucene.apache.org
Cc: simon.willnauer@gmail.com
Subject: Re: Scoring based on document

Hi All,

Just wanted to make sure that will approach would fails for this case.

Having a copy field for each of the document, having the concatenated value=
s  of all the fields in that document and searching on the copy field would=
 just produce the result. The resulting docs would  be based on the frequen=
cy of the query terms in the whole document.

On Tue, Oct 23, 2012 at 7:48 PM, Siraj Haider <siraj@jobdiva.com> wrote:

> So, just to confirm, using Lucene 4.0, we would be able to issue a
> search on one or more fields and would be able to get the results
> sorted by a custom field and also would be able to get the score of
> each document based on the frequency of the terms searched in all the
> indexed fields of that document (rather than getting it scored just by
> the fields in the query, which is the case now).
>
> If this is true, could be please guide me into the direction on how to
> implement it?
>
> Thanks a lot for your help.
>
> -Siraj
> (212) 306-0154
>
> -----Original Message-----
> From: Simon Willnauer [mailto:simon.willnauer@gmail.com]
> Sent: Tuesday, October 23, 2012 3:51 AM
> To: java-user@lucene.apache.org
> Subject: Re: Scoring based on document
>
> hey there,
>
>
> in Lucene 4 you can override the termStatistics / CollectionStatistics
> used for scoring in the IndexSearcher. You can take multiple fields
> into account here in order use it for scoring. Here is the javadoc
> link:
>
>
> http://lucene.apache.org/core/4_0_0/core/org/apache/lucene/search/Inde
> xSearcher.html#termStatistics(org.apache.lucene.index.Term
> ,
> org.apache.lucene.index.TermContext)
>
> http://lucene.apache.org/core/4_0_0/core/org/apache/lucene/search/Inde
> xSearcher.html#collectionStatistics(java.lang.String)
>
>
> simon
> On Mon, Oct 22, 2012 at 11:25 PM, Siraj Haider <siraj@jobdiva.com> wrote:
> > I am using DefaultSimilarity and did not boost any field while indexing=
.
> My index is comprised of the following fields:
> >
> > -          Title
> >
> > -          Author
> >
> > -          Bookname
> >
> > -          Description
> >
> > All of the 4 fields are indexed and can be searched on by the user.
> > Now
> let's say the user searches for "oracle" in Title field, the score is
> computed based on the Title field only, and its disregarding the
> frequency of the term "oracle" in other fields. It might be like that
> by design but I need to change it so that the documents are ranked
> based on the frequency in the whole document and not based on the field s=
earches. Please help!
> >
> > Thanks in advance
> > -Siraj
> >
> >
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This electronic mail message and any attachments may contain information wh=
ich is privileged, sensitive and/or otherwise exempt from disclosure under =
applicable law. The information is intended only for the use of the individ=
ual or entity named as the addressee above. If you are not the intended rec=
ipient, you are hereby notified that any disclosure, copying, distribution =
(electronic or otherwise) or forwarding of, or the taking of any action in =
reliance on, the contents of this transmission is strictly prohibited. If y=
ou have received this electronic transmission in error, please notify us by=
 telephone, facsimile, or e-mail as noted above to arrange for the return o=
f any electronic mail or attachments. Thank You.

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