Hi Mikhail, Thanks for the reply.
I think coord works at the document level, I was thinking of having something that worked at a field level, against a 'principle/primary' field. I'm using edismax with tie=1 (a.k.a. Disjunction Sum) and several fields, but docs with greater query overlap on the primary field should score higher if you see what I mean. Cheers, Dan On Tue, Jan 29, 2013 at 7:14 PM, Mikhail Khludnev < mkhlud...@griddynamics.com> wrote: > Daniel, > > You can start from here > > http://lucene.apache.org/core/4_0_0-BETA/core/org/apache/lucene/search/similarities/Similarity.html#coord%28int,%20int%29but > it requires deep understanding of Lucene internals > > > > On Tue, Jan 29, 2013 at 2:12 PM, Daniel Rosher <rosh...@gmail.com> wrote: > > > Hi, > > > > I'm wondering if there exists or if someone has implemented something > like > > the following as a function query: > > > > overlap(query,field) = number of matching terms in field/number of terms > in > > field > > > > e.g. with three docs having these tokens(e.g.A B C) in a field > > D > > 1:A B B > > 2:A B > > 3:A > > > > The overlap would be for these queries (-- highlights possibly highest > > scoring doc): > > > > Q:A > > 1:1/3 > > 2:1/2 > > 3:1/1 -- > > > > Q:A B > > 1:2/3 > > 2:2/2 -- > > 3:1/1 > > > > Q:A B C > > 1:2/3 > > 2:2/2 -- > > 3:1/1 > > > > The objective to to pick the most likely doc using the overlap to boost > the > > score. > > > > Cheers, > > Dan > > > > > > -- > Sincerely yours > Mikhail Khludnev > Principal Engineer, > Grid Dynamics > > <http://www.griddynamics.com> > <mkhlud...@griddynamics.com> >
