Thanks you for your reply
The thing is i'am trying to emplement a weight for a word form indexing html
web pages.
The is like :
*50% + Weigth(word in doc d) = *20% + * 10% +
...
the code is :
=
doc.add(new Field(url,
Thank you for your reply
How can i change the defaultSimilarity in the indexing and the searching, do
you have an example or an url how to set the Similarity ?
http://lucene.zones.apache.org:8080/hudson/job/Lucene-Nightly/javadoc/org/apache/lucene/search/Similarity.html
Thanks again
Ion
That is already in the similarity formula, in tf term, documents that
have more occurrences of a given term receive a higher score.
Jamal H Tandina wrote:
If you want to give priority to documents that are larger, like z1, you
should change the DefaultSimilarity (at index time), more
For your specific problem you need to change the DefaultSimilarity only
at index time, because the lengthNorm is written to the index when is
created.
So... first you'll need to extend the DefaultSimilarity and override the
lengthNorm() method with the one suggested in the previous replay; then
I strongly recommend against this. Simple word counts are a poor
measure of relevance. Which is why Lucene doesn't score that
way. Do you have an example showing why the default scoring is
inadequate or is this just an assumption?
It would be helpful if you gave us some idea of what you're trying
If you want to give priority to documents that are larger, like z1, you
should change the DefaultSimilarity (at index time), more exactly the
method:
public float lengthNorm(String fieldName, int numTerms) {
return (float)(1.0 / Math.sqrt(numTerms));
}
to something like this
