# Scoring tagged documents with custom scores
**URL:** https://discuss.elastic.co/t/scoring-tagged-documents-with-custom-scores/231224
**Category:** Elasticsearch
**Created:** [May 5, 2020, 9:21pm UTC](https://discuss.elastic.co/t/scoring-tagged-documents-with-custom-scores/231224 "2020-05-05T21:21:46Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@Charles\_Lariviere](https://discuss.elastic.co/u/Charles_Lariviere)
#### Post date: [May 5, 2020, 9:21pm UTC](https://discuss.elastic.co/t/scoring-tagged-documents-with-custom-scores/231224/1 "2020-05-05T21:21:46Z")
Hey folks,
We're interested in customizing ElasticSearch relevance scoring by using our own relevance values for each tag that was added to a document. We're still early in our exploration process but would appreciate some guidance on how to best achieve this with ElasticSearch (and whether it _is_ possible).
Given this document:
```auto
{
"id": "10252",
"popularity_score": "1.28",
"tags": [
{
"tag": "beach",
"relevance": "0.7"
},
{
"tag": "illustration",
"relevance": "0.3"
},
{
"tag": "california",
"relevance": "0.9"
},
]
}
```
and given the following query:
```auto
"query" : "beach illustration"
```
We would like the score for this document to be:
```auto
"score" = mean(relevance) * popularity_score
= mean([0.7, 0.3]) * 1.28
= 0.64
```
From our research, this sounds possible through nested queries and script score. However, the following case complicates things slightly:
For the same document, and the following query:
```auto
"query": "house illustration"
```
We would like the score to be:
```auto
"score" = mean([0, 0.3]) * 1.28
```
(since the document does _not_ have the tag "house")
We wouldn't want to store all possible tags (\>100k) on each document, and it sounds like the sparse vector data type would have been useful here -- however it appears to have been deprecated in 7.6.
Any guidance here (or even just if this is indeed possible to do) would be greatly appreciated. Thanks!
---
### Author:  [@mayya](https://discuss.elastic.co/u/mayya)
#### Post date: [May 7, 2020, 9:03pm UTC](https://discuss.elastic.co/t/scoring-tagged-documents-with-custom-scores/231224/2 "2020-05-07T21:03:14Z")
There is a new datatype called [rank\_features](https://www.elastic.co/guide/en/elasticsearch/reference/current/rank-features.html) that may help is your use-case. Queries on it are very efficient. However there is no possibility of custom scoring on features, there are only 3 available [predefined functions](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-rank-feature-query.html) on rank\_features.
If you model your tags as rank\_features, you can run the following query:
```auto
{
"query": {
"script_score": {
"query": {
"bool": {
"should": [
{
"rank_feature": {
"field": "tags.beach"
}
},
{
"rank_feature": {
"field": "tags.illustration"
}
}
]
}
},
"script": {
"source": "_score * doc['popularity_score'].value"
}
}
}
}
```
Note that, `_score` here will be calculated by default using saturation function.
We also currently [discussing a possibility of using linear function](https://github.com/elastic/elasticsearch/issues/49859) for rank\_features.
---
### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [June 4, 2020, 9:16pm UTC](https://discuss.elastic.co/t/scoring-tagged-documents-with-custom-scores/231224/3 "2020-06-04T21:16:41Z")
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