Boost score of term query result with multiple matches - elasticsearch

Question

I have serveral documents that look like the following stored in my elastic search index:
PUT tests
{
"mappings": {
"_doc": {
"dynamic": false,
"properties": {
"objects": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword"
}
}
},
"text": {
"type": "text"
}
}
}
}
}
PUT tests/_doc/1
{
"text": "lel",
"objects": ["A"]
}
PUT tests/_doc/2
{
"text": "lol",
"objects": ["B"]
}
PUT tests/_doc/3
{
"text": "lil",
"objects": ["C"]
}
PUT tests/_doc/4
{
"text": "lul",
"objects": ["A", "B", "C"]
}
I want to query for objects with the following query:
GET _search
{
"query": {
"terms": {
"objects.keyword": ["A", "B", "C"]
}
}
}
The result includes all three sample objects I provided.
My question is simply whether I can make an object appear of a higher importance (boost) that has a full match (all keywords in the objects array) and not just only a partial match and if so how, since I could not find any information in the elastic search documentation.
This is the result I am currently receiving:
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 11,
"successful": 11,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 1,
"hits": [
{
"_index": "tests",
"_type": "_doc",
"_id": "2",
"_score": 1,
"_source": {
"text": "lol",
"objects": [
"B"
]
}
},
{
"_index": "tests",
"_type": "_doc",
"_id": "4",
"_score": 1,
"_source": {
"text": "lul",
"objects": [
"A",
"B",
"C"
]
}
},
{
"_index": "tests",
"_type": "_doc",
"_id": "1",
"_score": 1,
"_source": {
"text": "lel",
"objects": [
"A"
]
}
},
{
"_index": "tests",
"_type": "_doc",
"_id": "3",
"_score": 1,
"_source": {
"text": "lil",
"objects": [
"C"
]
}
}
]
}
}

Answer 1

I think your best bet is using a bool query with should and minimum_should_match: 1.
GET _search
{
"query": {
"bool": {
"should": [
{
"term": {
"objects.keyword": "A"
}
},
{
"term": {
"objects.keyword": "B"
}
},
{
"term": {
"objects.keyword": "C"
}
}
],
"minimum_should_match": 1
}
}
}
Results:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 6,
"successful": 6,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 1.5686159,
"hits": [
{
"_index": "tests",
"_type": "_doc",
"_id": "4",
"_score": 1.5686159,
"_source": {
"text": "lul",
"objects": [
"A",
"B",
"C"
]
}
},
{
"_index": "tests",
"_type": "_doc",
"_id": "1",
"_score": 0.2876821,
"_source": {
"text": "lel",
"objects": [
"A"
]
}
},
{
"_index": "tests",
"_type": "_doc",
"_id": "3",
"_score": 0.2876821,
"_source": {
"text": "lil",
"objects": [
"C"
]
}
},
{
"_index": "tests",
"_type": "_doc",
"_id": "2",
"_score": 0.18232156,
"_source": {
"text": "lol",
"objects": [
"B"
]
}
}
]
}
}
EDIT: Here's why, as explained by the docs (https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html):
The bool query takes a more-matches-is-better approach, so the score from each matching must or should clause will be added together to provide the final _score for each document.