# Filter by match\_phrase, score by phrase frequency
**URL:** https://discuss.elastic.co/t/filter-by-match-phrase-score-by-phrase-frequency/57583
**Category:** Elasticsearch
**Created:** [August 9, 2016, 10:36am UTC](https://discuss.elastic.co/t/filter-by-match-phrase-score-by-phrase-frequency/57583 "2016-08-09T10:36:57Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@viktorm](https://discuss.elastic.co/u/viktorm)
#### Post date: [August 9, 2016, 10:36am UTC](https://discuss.elastic.co/t/filter-by-match-phrase-score-by-phrase-frequency/57583/1 "2016-08-09T10:36:57Z")
Hi there!
I want to score document relevance by exact phrase frequency in a field. Some queries have multiple phrases for filtering. Is there any better way than scripting a custom score function?
UPD: My experiments with scripted score function and shingles [http://lpaste.net/2853889383168212992](http://lpaste.net/2853889383168212992). So far scripted solution works best. However I'm unsure about performance impact.
Thanks!
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### Author:  [@jpountz](https://discuss.elastic.co/u/jpountz)
#### Post date: [August 9, 2016, 9:12pm UTC](https://discuss.elastic.co/t/filter-by-match-phrase-score-by-phrase-frequency/57583/2 "2016-08-09T21:12:12Z")
Do you always need to sort by phrase freq? If yes then I think you could just use a regular phrase query on a field that has norms disabled.
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### Author:  [@viktorm](https://discuss.elastic.co/u/viktorm)
#### Post date: [August 9, 2016, 9:25pm UTC](https://discuss.elastic.co/t/filter-by-match-phrase-score-by-phrase-frequency/57583/3 "2016-08-09T21:25:36Z")
jpountz, all the time. Hence why I use similarity provider that returns 1 as IDF.
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 5, 2017, 10:28pm UTC](https://discuss.elastic.co/t/filter-by-match-phrase-score-by-phrase-frequency/57583/4 "2017-07-05T22:28:59Z")