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Posted to java-user@lucene.apache.org by Ivan Provalov <ip...@yahoo.com> on 2010/03/12 17:01:08 UTC
TREC-3 Runs
Just to follow up on our previous discussion, here are a few runs in which we have tested some of the Lucene different scoring mechanisms and other options. We used Lucene's patches for LnbLtcSimilarity and BM25 and contrib module for the SweetSpotSimilarity.
Lucene Default: 0.149
Lucene BM25: 0.168
SweetSpotSimilarity (Min: 10; Max: 1000; Steepness: 0.2): 0.173
LnbLtcSimilarity (Pivot Norm + TF Default; Avg # of Terms: 450; slope: 0.25): 0.184
LnbLtcSimilarity (Pivot Norm + TF Log; Avg # of Terms: 450; slope: 0.25): 0.186
Lucene With Stemmer: 0.202
Lucene With Lexical Affinities + Phrase Expansion + Stemmer: 0.21
Thanks,
Ivan
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Re: TREC-3 Runs
Posted by Robert Muir <rc...@gmail.com>.
On Fri, Mar 12, 2010 at 11:01 AM, Ivan Provalov <ip...@yahoo.com> wrote:
> Just to follow up on our previous discussion, here are a few runs in which we have tested some of the Lucene different scoring mechanisms and other options. We used Lucene's patches for LnbLtcSimilarity and BM25 and contrib module for the SweetSpotSimilarity.
>
> Lucene Default: 0.149
> Lucene BM25: 0.168
> SweetSpotSimilarity (Min: 10; Max: 1000; Steepness: 0.2): 0.173
> LnbLtcSimilarity (Pivot Norm + TF Default; Avg # of Terms: 450; slope: 0.25): 0.184
> LnbLtcSimilarity (Pivot Norm + TF Log; Avg # of Terms: 450; slope: 0.25): 0.186
> Lucene With Stemmer: 0.202
> Lucene With Lexical Affinities + Phrase Expansion + Stemmer: 0.21
Ivan, thanks for reporting back. Its more evidence that its worth our
trouble to support additional scoring models.
--
Robert Muir
rcmuir@gmail.com
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