Custom Similarity

[Dwaipayan Roy]

​I want to make a scoring function that will score the documents by the
following function:
given Q = {q1, q2, ... }
score(D,Q) =
   for all qi:
      SUM of {
         LOG { weight_1(qi) + weight_2(qi) + weight_3(qi) }
      }

I have stored weight_1, weight_2 and weight_3 for all term of all documents
as payload, with payload delimiter = | (pipe) during indexing.

However, I am not sure on how to integrate all the weights during
retrieval. I am sure that I have to @Override some score() but not sure
about the exact class.

Please help me here.
​
Best,
Dwaipayan..​