You could encode term score as payload while indexing, and use those payloads on search time.
On Fri, Oct 15, 2010 at 11:30, Zaharije Pasalic <pasalic.zahar...@gmail.com> wrote: > Hi > > my original problem is to index large number of documents which > contains 360 integers in rage from 0-90K. Searching it's a little bit > complicated - I need to find most similar documents where query data > is also 360 numbers in range 0-90K. But (there is always 'but') i need > to create score with some predefined weight table. Here is example: > > Index contains: > > DOC1 : 1, 3, 5 > DOC2 : 1, 100 > DOC3 : 1, 5 > > I need to find all documents which are 'like' this: > > SEARCH: 1,5,100 > > And suppose that i'm having table which says: "if value is larger than > 10 wight hit as 0.5, else as 1" (in real application this is more > complicated weight table). > > So for Query 1,5,100 i will have: > > DOC1: SCORE=2 [1,5] > DOC3: SCORE=2 [1,5] > DOC2: SCORE=1.5 [1,100 (100>10- wight 0.5] > > Searching is just: if hits occurs on field, increments score by > 1*weight(value) > > My first step was to create index with one field which contains all > 360 values and to remove normals from it. > > Now when i'm doing search like: > > "F:1 F:5 F:100" > > I'm getting results ok but score is not correct. Of course it gives me > score sorted by 'number of hits' (am I right?) but score value is not > calculated by increments of 1 nor i'm using wights at all. > > So, my question is - is this even possible with lucene and if can, can > you point me into some directions (i already looked a little bit at > DefaultSimilarity overriding). > > Thanks > > --------------------------------------------------------------------- > To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org > For additional commands, e-mail: java-user-h...@lucene.apache.org > > --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
