So, I suggest you to override the lengthNorm method and to ignore the numTokens parameter.
NB: The length norm is computed during the indexation and the norm are store in the index (in the _aaa.f# files). So, you need to do re-index your data, and use this similarity during the indexation.
Cheers, Franck
Niraj Alok wrote:
I have set the searcher.setSimilarity as well as also tried setting the coord factor to 1.
The problem as given by an example is : Lets say I have titles to be displayed depending upon the search. E.g if i have "ice hockey" as the search item and if it is default similarity, my results are :
ice hockey0.99999994 ice hockey0.75 ice hockey0.75 winter Olympics: hockey, ice, medallists0.17402513 ice age0.073680125 National Hockey League0.020266924 Cracking the Ice Age0.018420031 ground-ice0.011512519 ice hockey: British Sekonda Superleague Play-Off Championship: finals0.0069075115 (the numbers indicating the score).
But if i set the similarity as my overridden one, the results become: ice hockey0.99999994 ice hockey0.75 ice hockey0.75 ice age0.22104037 winter Olympics: hockey, ice, medallists0.17402513 National Hockey League0.060800765 Cracking the Ice Age0.055260092 ground-ice0.034537554 ice hockey: British Sekonda Superleague Play-Off Championship: finals0.020722535
I want all the titles which have both "ice" and "hockey" to come above the rest (to have higher scores) Meaning i would wish the results to appear like:
ice hockey ice hockey ice hockey winter Olympics: hockey, ice, medallists ice hockey: British Sekonda Superleague Play-Off Championship: finals ice age National Hockey League Cracking the Ice Age ground-ice
My overriden similarity class contains just this method: public float coord(int overlap, int maxOverlap) {
return 1.0f;
}
I feel it is the weight factor which is producing indesirable results. Any help in this regard would be highly appreciated.
Regards, Niraj
----- Original Message ----- From: "Brisbart Franck" <[EMAIL PROTECTED]> To: "Lucene Users List" <[EMAIL PROTECTED]> Sent: Friday, June 04, 2004 8:46 PM Subject: Re: score and frequency
Hi,
Be careful to set the default similarity 'Similarity.setDefault(similarity)' before creating your search instance (IndexSearcher). If you change the default similarity after, you'll still use the old one. You'd better use the 'searcher.setSimilarity' method on your searcher.
Franck
Phil brunet wrote:
Hi to all.
Maybe the term frequency is not the only parameter you need to override to "customize" the score attributed by Lucene.
Maybe you should consider the normalisation factor, the idf and the coord factor ?
Philippe
From: "Niraj Alok" <[EMAIL PROTECTED]> Reply-To: "Lucene Users List" <[EMAIL PROTECTED]> To: "Lucene Users List" <[EMAIL PROTECTED]> Subject: Re: score and frequency Date: Fri, 4 Jun 2004 15:13:32 +0530
Hi Erik,
Thanks for the suggestion.
I tried this: public class RelevanceSimilarity extends DefaultSimilarity
{
public float tf(float freq) {
System.out.println("discounting frequency");
return (float)1;
}
}
and in my query class, I used :
Similarity.setDefault(similarity);
Hits hits = is.search(query);
for(i = 0; i < hits.length(); i ++)
result = result + hits.score(i);
However, this is still not giving me the expected result. Do I need to
do
something else?
Regards, Niraj
----- Original Message ----- From: "Erik Hatcher" <[EMAIL PROTECTED]> To: "Lucene Users List" <[EMAIL PROTECTED]> Sent: Friday, June 04, 2004 1:55 PM Subject: Re: score and frequency
On Jun 4, 2004, at 2:52 AM, Niraj Alok wrote:
Hi,
I am having some problems with the score of lucene. I am trying to get the results displayed according to hits.score
and
it is giving the results correctly. However I do not want the frequency factor to be used for the computation of the score.
Is it possible to get the score which does not have the frequency factor in it ?
Have a look at the javadocs for Similarity. DefaultSimilarity is
used
unless otherwise specified. You could subclass that and override
this:
public float tf(float freq) { return (float)Math.sqrt(freq); }
and return 1.0. This might give you the effect you want.
Erik
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