Hi ,
I dont see why it should run into performance issue.
In anyway you do it , the _score and score due to a field have to be
computed/loaded.
If you precompile your script by placing it in config directory , that
should be good enough.
Also feel free to write the same in Java code and attach that as script.
Thanks
Vineeth
On Mon, Dec 22, 2014 at 10:30 PM, Scott Decker <sc...@publishthis.com>
wrote:
> If you did the script score path, don't you run into performance issues?
> I would think, running say thousands of queries like that would probably
> not be performant.
> unless I am missing something.
>
> On Sunday, December 21, 2014 8:01:06 PM UTC-8, vineeth mohan wrote:
>>
>> Hello ,
>>
>> My advice would be to use the script function type. Inside it you can
>> access _score which is the score given by the query and the value of the
>> field. Mix them together in whatever logic you want.
>>
>> Thanks
>> Vineeth
>>
>> On Thu, Dec 11, 2014 at 7:28 PM, hespoddi <ch...@publishthis.com> wrote:
>>
>>> Hi all,
>>>
>>> We'd like to combine the query score with our own custom trending score
>>> for a given document. Currently, our query looks like:
>>>
>>> {
>>> "query": {
>>> "filtered": {
>>> "filter": {
>>> "and": [
>>> {
>>> "range": {
>>> "trendingScore": {
>>> "gt": 0.0
>>> }
>>> }
>>> }
>>> ]
>>> },
>>> "query": {
>>> "function_score": {
>>> "functions": [
>>> {
>>> "field_value_factor": {
>>> "field": "trendingScore"
>>> }
>>> }
>>> ],
>>> "query": {
>>> "bool": {
>>> "minimum_should_match": 1,
>>> "should": [
>>> {
>>> "match_phrase": {
>>> "title": {
>>> "boost": 1.5,
>>> "query": "<phrase>"
>>> }
>>> }
>>> },
>>> {
>>> "match_phrase": {
>>> "content": {
>>> "boost": 1.0,
>>> "query": "<phrase>"
>>> }
>>> }
>>> }
>>> ]
>>> }
>>> }
>>> }
>>> }
>>> }
>>> }
>>> }
>>>
>>> So, this query seems to do want we want: it multiples the query score
>>> for document with our custom trending score (stored on the "trendingScore"
>>> field). The problem is that the trending score, in many cases, overwhelms
>>> the query score. Thus, documents with very low relevancy, but very high
>>> trending, are at the top of our results. Ideally, we'd filter the query to
>>> only return the top N percentage of documents that matched, but I don't
>>> think that's possible. We've looked at the min_score parameter for queries
>>> as well, but I don't know what a "good" value would be for this.
>>>
>>> Does anyone have any ideas on the best way to solve this problem? Thank
>>> you ahead of time!
>>>
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