tf idf - Elasticsearch function_score query -

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i'm using elasticsearch v 1.7.3

here fields in document:

       field1, field2, field3, field4

i need give weightage each field field1: 40, field2: 40, field3: 10, field4: 10

during indexing, field1 , field2 expanded phonetic tokens. have field1 ==> field1, field1.1, field1.2 , field2 => field2, field2.1, field2.2

my query can based on combination of of above 4 fields.

now scoring, don't want use tf/idf or bm25 scoring models.

rather want compute weighted average per field , sum them together.

for example input query:  field1: abc field2: pqr field3: xyz field4: rst

assume there following documents in corpus:

document 1 ----------- field1: abc field2: pqr field3: xyz field4: rst  document 2 ----------- field1: abx field2: pqr field3: xyz field4: rst

score document 1: 100 ==> weightedaverage(field1) + weightedaverage(field2) + weightedaverage(field3) + weightedaverage(field4) ===> 40 + 40 + 10 + 10

score document 2: 90 ==> weightedaverage(field1) + weightedaverage(field2) + weightedaverage(field3) + weightedaverage(field4) ===> 30 + 40 + 10 + 10 (not hope idea).

can in function_score query? couldn't quite how can accomplished. thanks.

you need take @ function score query.inside function score , define boolean query filters on each of field , assgin boost(40 or 10) , choose boost_mode sum.

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html

{     "functions": [         {             "filter": {                 "query": {                     "bool": {                         "should": [                             {                                 "match": {                                     "inputloc1": "abc"                                 }                             }                         ]                     }                 }             },             "boost_factor": 11         },         {             "filter": {                 "query": {                     "bool": {                         "should": [                             {                                 "query_string": {                                     "fields": [                                         "input"                                     ],                                     "query": "xyz",                                     "fuzziness": 0,                                     "fuzzy_prefix_length": 0                                 }                             }                         ]                     }                 }             },             "boost_factor": 6         }     ],     "boost_mode": "sum" }

i gave example function code, can switch query match(instead of query strings).what define inside function computes score.what define inside query(inside function_score filter documents).

hope helps.


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