How to boost certain documents if the search query contains a certain term/text in elastic - elasticsearch

Question

If the search query contains fruits I want to boost the products from a certain category?
{
"query": {
"bool": {
"should": [
{
"constant_score": {
"boost": 2,
"filter": {
"term": { "categories": "3" }
}
}
}
]
}
}
}
I have the above query, which gives a constant score to items with the category 3, I want to apply this constant score/boosting/increase relevancy only when a certain text (for example fruits) is present in the search term.
Sample elasticsearch document
{
"id" : 1231,
"name" : {
"ar" : "Arabic fruit name",
"en" : "english fruit name"
}
"categories" : [3,1,3] // category ids because the same product is shown in multiple categories
}
How do I achieve this? I use elasticsearch 7.2

Answer 1

Original answer:
{
"query": {
"bool": {
"should": [
{
"constant_score": {
"boost": 2,
"filter": {
"bool": {
"filter": [
{
"term": {
"categories": "3"
}
}
],
"should": [
{
"match": {
"name.ar": "fruit"
}
},
{
"match": {
"name.en": "fruit"
}
}
],
"minimum_should_match": 1
}
}
}
}
]
}
}
}
If i understand correctly what you're looking for.
Btw, I suggest using "match_phrase" instead of "match" if you want to match "fruit name" exactly and not "fruit" or "name"
Update: (based on the comment)
In that case i'd suggest reorganizing your schema in the following manner:
"item": {
"properties": {
"name": {
"type": ["string"]
},
"language": {
"type": ["string"]
}
}
}
So your sample would become:
{
"id" : 1231,
"item" : [
{"name": "Arabic fruit name", "language": "ar"}
{"name": "english fruit name", "language": "en"}
],
"categories" : [3,1,3]
}
And then you can match against "item.name"
Why? Because the way ElasticSearch indexes (at least, by default) is to flatten your the array, so internally it looks like ["Arabic fruit name", "english fruit name"]
With your original sample, two different fields are created in the schema (name.ar and name.en), which is actually not a great design if you need to scale