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From Danil ŢORIN <torin...@gmail.com>
Subject Re: Overriding DefaultScore
Date Fri, 15 Oct 2010 09:09:54 GMT
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.zaharije@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
>
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