# ElasticSearch normalized the score for each document **URL:** \ **Category:** Elasticsearch\ **Created:** [March 16, 2017, 1:40am UTC](https://discuss.elastic.co/t/elasticsearch-normalized-the-score-for-each-document/78785 "2017-03-16T01:40:54Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Philip\_Moniaga](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/philip_moniaga/32/16397_2.png) [@Philip\_Moniaga](https://discuss.elastic.co/u/Philip_Moniaga)\ **Post date:** [March 16, 2017, 1:40am UTC](https://discuss.elastic.co/t/elasticsearch-normalized-the-score-for-each-document/78785/1 "2017-03-16T01:40:54Z")
Is it possible to normalized score in elastic search using function\_score from relevance score? so, we can get max\_score/\_score range 0 to 1 for each document and we can put a threshold min\_score because we know the exact score My case: I want to search the document that has at least 50% of words from query for example query : Iphone document: New Iphone (50% because two words and contains iphone) document: New iphone 7 (33% because three words) ---
**Author:** ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)\ **Post date:** [March 16, 2017, 7:39am UTC](https://discuss.elastic.co/t/elasticsearch-normalized-the-score-for-each-document/78785/2 "2017-03-16T07:39:38Z")
Relevance scoring is not bounded, you may be able to force it into a bound with a function score, but I'd expect it to be pretty useless. ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [April 13, 2017, 7:39am UTC](https://discuss.elastic.co/t/elasticsearch-normalized-the-score-for-each-document/78785/3 "2017-04-13T07:39:39Z")
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