Hi all. I am trying to make some experiments in an algorithm that scores results by counting how many words of the query submited are in a document.
For example if i enter the query A B D A The similarities I want to get for the documents follows: A A C F D (2-found A and D) A B D S S A (3 - found A, B and D) D D D (1 - only found D) I built a Similarity that actually sets everything's price as 1.0f except tf The tf functions returns 1.0f if freq>0 and 0.0f else. I think that this change does count what I want, but when it comes to show the score, all are normalized. So, the greater similarity is equal to 1.0f and the others are lower than 1.0f How can I "deactivate" the score normalization? Thank you! I want to -- View this message in context: http://www.nabble.com/custom-similarity-based-on-tf-but-greater-than-1.0-tf3037071.html#a8440390 Sent from the Lucene - Java Users mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
