It's not hard to implement one. Store your term value of your document with payload. Then create your own Query and override the score function with your cosine similarity logic.
The problem here is you need to watch out the performance, especially for terms have very high DF. It may decrease your query performance a lot. Thanks, On Sun, Jul 21, 2013 at 12:14 AM, Malgorzata Urbanska < urban...@cs.colostate.edu> wrote: > Hi, > > > I would like to calculate raw cosine similarity between query and > document. I read documentation about lucene scoring but I'm still > confused. Does exist any implementation in Luscen 4.3.0 to do that. If > not, what is the easiest way to do this. > > So far I'm retrieving a TermVector for document but I'm a little bit > lost. I do not know what should I do next. > > Thanks > > > -- > gosia > > --------------------------------------------------------------------- > To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org > For additional commands, e-mail: java-user-h...@lucene.apache.org > >
