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From: Kasun Perera <kasunp@opensource.lk>
Date: Fri, 20 Apr 2012 20:00:18 +0530
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Subject: Re: Weighted cosine similarity calculation using Lucene
To: java-user@lucene.apache.org
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Hi Erick

On Fri, Apr 20, 2012 at 5:14 PM, Erick Erickson <erickerickson@gmail.com>wr=
ote:

> Maybe I'm missing something here, but why not just boost the
> terms in the fields at query time?
>

Yes I can boost the fields in the query time. But I'm using the
termFreqVector get term frequencies and then calculate the TFIDF values for
documents then calculate the cosine similarity using TFIDF.
The field.setboost() function will give NO effect on term Frequencies.
Is there anyother way to do the boosting that will give effect
on term-frequencies?

Thanks


>
> Best
> Erick
>
> On Fri, Apr 20, 2012 at 4:20 AM, Kasun Perera <kasunp@opensource.lk>
> wrote:
> > I have documents that are marked up with Taxonomy and Ontology terms
> > separately.
> > When I calculate the document similarity, I want to give higher weights
> to
> > those Taxonomy terms and Ontology terms.
> >
> >
> > When I index the document, I have defined the Document content, Taxonom=
y
> > and Ontology terms as Fields for each document like this in my program.
> >
> >
> > *Field ontologyTerm=3D new Field("fiboterms", fiboTermList[curDocNo],
> > Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.YES);*
> >
> > *Field taxonomyTerm =3D new Field("taxoterms", taxoTermList[curDocNo],
> > Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.YES);*
> >
> > *Field document =3D new Field(docNames[curDocNo], strRdElt,
> > Field.TermVector.YES);*
> >
> >
> >
> > I=92m using Lucene index .TermFreqVector functions to calculate TFIDF
> values
> > and, then calculate cosine similarity between two documents using TFIDF
> > values.
> >
> >
> > For give weights to Ontology and Taxonomy terms when calculating the
> cosine
> > similarity, what I can do is, programmatically multiply the Taxonomy
> > and Ontology
> > term frequencies with defined weight factor before calculating the TFID=
F
> > scores. Will this give higher weight to Taxonomy and Ontology terms in
> > document similarity calculation?
> >
> >
> > Are there Lucene functions that can be used to give higher weights to t=
he
> > certain fields when calculating TFIDF values using TermFreqVector? can =
I
> > just use the setboost() function for this purpose, then how?
> >
> > --
> > Regards
> >
> > Kasun Perera
>
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--=20
Regards

Kasun Perera

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