from all the examples of what you've described, i'm fairly certain all you
really need is a TFIDF based Similarity where coord(), idf(), tf() and
queryNorm() return 1 allways, and you omitNorms from all fields.
Yeah, that's what I did in the very first iteration. It works only for
cases #1 and
how are you defining/specifying these field weights?
I define weights inside of a query (name:SomeName^7).
it would help if you could give a concrete example of some sample docs, a
sample query, and what results you would expect ... the sample input and
sample output of the system you are int
Thank you for your answer, Chris. I will reply with inline comments as
well. Please see below.
: I need to uniquely identify a document inside of a Similarity class during
: scoring. Is it possible to get value of unique key of a document at this
: point?
Can you tell us a bit more about your
Good afternoon.
I need to uniquely identify a document inside of a Similarity class
during scoring. Is it possible to get value of unique key of a document
at this point?
For some time I though I can use internal docID for achieving that.
Method score(int doc, float freq) is called after eve
