Then if I want to use another scoring formula I must to implement my own Query/Weigh/Scorer ? For example instead of cousine distance leiderbage distance or .. another. I'm studying Query/Weigh/Scorer classes to find out how to do that but there is not much documentation about that.
I have seen I could change similarity factors extending the simlarity class, but I have not seen any example about changing scoring formula and changing the weight by term in the term vector. Do you know any tutorial about this ? What I want to do changing frecuency in the terms vector is this: for example instead of take the tf term frecuency of the term and stored in the vector I want to consider the correlation of the term with the other terms of the documents and store that measure by term in the vector so later with my custom similarity formula calculate the ranking of a document against a query considering the correlation between terms. Dou you think is a big mistake try to do this with lucene ??? Is there any way ? --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
