Calculate the score only based on the documents have more occurance of term in lucene
I am started working on resume retrieval(document) component based on lucene.net engine. It works great, and it fetches the document and score it based on the the idea behind the VSM is the more times a query term appears in a document relative to the number of times the term appears in all the documents in the collection, the more relevant that document is to the query. Lucene's Practical Scoring Function is derived from the below. score(q,d)=coord(q,d)·queryNorm(q)· ∑( tf(t in d) ·idf(t)2 · t.getBoost() · norm(t,d) ) t in q in this tf(t in d) correlates to the term's frequency, defined as