# Boosting results with Custom Filter Score and filter boost problem
**URL:** https://discuss.elastic.co/t/boosting-results-with-custom-filter-score-and-filter-boost-problem/12762
**Category:** Elasticsearch
**Created:** [July 12, 2013, 6:14am UTC](https://discuss.elastic.co/t/boosting-results-with-custom-filter-score-and-filter-boost-problem/12762 "2013-07-12T06:14:52Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@Skeez](https://discuss.elastic.co/u/Skeez)
#### Post date: [July 12, 2013, 6:14am UTC](https://discuss.elastic.co/t/boosting-results-with-custom-filter-score-and-filter-boost-problem/12762/1 "2013-07-12T06:14:52Z")
Hi,
We are trying to use Elastic Search to replace FAST.
We currently use FAST XRanks to apply relevancy to out search results and
am trying to switch it to Elastic. I am not sure what the problem is but
when using Custom Filter Score with Boosts on the Filters and a Score Mode
of "total" we are getting very different results with the equivalent
Elastic query / Boost values. Can anyone help out?
Maybe my understanding of the score mode "total" is not correct but I
thought it would get the search results based on the query, apply the
filters on each result item and sum up all boosts on the matching filters
and then order descending on the score is that correct?
Below is the query we are using. The problem seems to be with the float
range filters (priceToAveragePriceRatio, kmsToAverageKmsRatio) since the
results do not seem to get boosted correctly on these on these (but I could
be wrong).
{
"from": 0,
"size": 10,
"sort": {
"\_score": {
"order": "desc"
}
},
"query": {
"custom\_filters\_score": {
"query": {
"bool": {
"should": [
{
"match": {
"usedNature": {
"type": "phrase",
"query": "Ex Demo Cars"
}
}
},
{
"match": {
"usedNature": {
"type": "phrase",
"query": "New Cars In Stock"
}
}
},
{
"match": {
"usedNature": {
"type": "phrase",
"query": "New Cars"
}
}
},
{
"match": {
"usedNature": {
"type": "phrase",
"query": "Used Cars"
}
}
}
]
}
},
"filters": [
{
"filter": {
"range": {
"carInformation.priceToAveragePriceRatio": {
"from": 0.7,
"to": 1.01
}
}
},
"boost": 500
},
{
"filter": {
"range": {
"carInformation.kmsToAverageKmsRatio": {
"from": 0.7,
"to": 1.1
}
}
},
"boost": 500
},
{
"filter": {
"range": {
"publishedDateTime": {
"from": "2013-06-30T23:22:16"
}
}
},
"boost": 700
},
{
"filter": {
"term": {
"enhancedListing": "1"
}
},
"boost": 9999
},
{
"filter": {
"range": {
"imageCount": {
"from": 8
}
}
},
"boost": 800
},
{
"filter": {
"range": {
"carInformation.nvicCount": {
"from": 1,
"to": 1
}
}
},
"boost": 600
},
{
"filter": {
"range": {
"imageCount": {
"from": 4,
"to": 7
}
}
},
"boost": 500
},
{
"filter": {
"term": {
"carInformation.hasOdometer": "1"
}
},
"boost": 100
},
{
"filter": {
"term": {
"carInformation.hasColour": "1"
}
},
"boost": 100
},
{
"filter": {
"term": {
"price.isPoaPrice": "0"
}
},
"boost": 200
},
{
"filter": {
"range": {
"imageCount": {
"from": 3,
"to": 5
}
}
},
"boost": 300
},
{
"filter": {
"range": {
"descriptionLength": {
"from": 100
}
}
},
"boost": 150
},
{
"filter": {
"range": {
"featureLength": {
"from": 100
}
}
},
"boost": 150
},
{
"filter": {
"term": {
"sourceSiteId": "3"
}
},
"boost": 2000
},
{
"filter": {
"term": {
"sourceSiteId": "1"
}
},
"boost": 5000
},
{
"filter": {
"prefix": {
"usedNature": "New Cars"
}
},
"boost": 1000
}
],
"score\_mode": "total"
}
}
}
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---
### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 6, 2017, 2:26am UTC](https://discuss.elastic.co/t/boosting-results-with-custom-filter-score-and-filter-boost-problem/12762/2 "2017-07-06T02:26:52Z")