In this work, we aim to improve the fi eld weighting for structured doc-
ument retrieval. We fi rst introduce the notion of fi eld relevance as the
generalization of fi eld weights, and discuss how it can be estimated using
relevant documents, which eff ectively implements relevance feedback for
f
Hi Nicholas,
Aha, I see that you are into field-based scoring, which is an unsolved problem.
Then, you might find BlendedTermQuery and SynonymQuery relevant.
Ahmet
On Friday, November 18, 2016 12:22 AM, Nicolás Lichtmaier
wrote:
That depends on what you want. In this case I want to use a
are you familiar with pivoted normalized document length practice or
theory? or croft's recent work on relevance algorithms accounting for
structured field presence?
On 11/17/2016 5:20 PM, Nicolás Lichtmaier wrote:
That depends on what you want. In this case I want to use a
discrimination po
That depends on what you want. In this case I want to use a
discrimination power based in all the body text, not just the titles.
Because otherwise terms that are really not that relevant end up being
very high!
El 17/11/16 a las 18:25, Ahmet Arslan escribió:
Hi Nicholas,
IDF, among others,
Hi Nicholas,
IDF, among others, is a measure of term specificity. If 'or' is not so usual in
titles, then it has some discrimination power in that domain.
I think it's OK 'or' to get a high IDF value in this case.
Ahmet
On Thursday, November 17, 2016 9:09 PM, Nicolás Lichtmaier
wrote:
IDF
