Hello, I wonder how token type are taken in account in similarity scoring.
From my test it appears that lucene do a scoring on the term text and the term type separately. For instance, with the documents (with term text/type) d1: w1/t1 w2/t1 w3/t2 d2: w1/t2 w2/t1 w3/t1 and the search w1/t1, I get the same score for d1 and d2 Is there a way to improve the score of d1 because the same token hat the right token text and type ? Thanks Paul Bédaride
