Can anybody explain or point me to couple of links where i can find
more info about payloads?

Thx

On Fri, Oct 15, 2010 at 11:09 AM, Danil ŢORIN <torin...@gmail.com> wrote:
> 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
>>
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>>
>
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