Elastic search multiple simple_query_string with boost - elasticsearch

Question

I have an index set up for all my documents:
{
"mappings" {
"book" {
"_source": { "enabled": true },
"properties": [
"title": { "type": "string", "analyzer": "standard", "search_analyzer": "standard" },
"description": { "type": "string", "analyzer": "standard", "search_analyzer": "standard" },
"author": { "type": "string", "analyzer": "standard", "search_analyzer": "standard" }
]
}
}
}
I push this through into an index called "library".
What I want to do is execute a search with the following requirements. Assuming the user entered something like "big yellow shovel"
Execute a search of user entered keywords in three ways:
As is as a whole phrase: "simple yellow shovel"
As a set of AND keywords: "simple+yellow+shovel"
As a set of OR keywords: "simple|yellow|shovel"
Ensure that the keyword sets executed in order of priority (boosted?):
Full text first
AND'd second
OR'd third
Using a simple query works find for a single search:
{
"query": {
"simple_query_string": {
"query": "\"simple yellow shovel\""
}
}
}
How do I execute the multiple search with boosting?
Or should I be using something like a "match" query on the indexed fields?

Answer 1

I am not sure if I got this one correct. I have assumed priority order of
author>title>description
{
"query": {
"bool": {
"should": [
{
"bool": {
"must": [
{
"multi_match": {
"query": "simple yellow shovel",
"fields": [
"author^7",
"title^3",
"description"
],
"type": "phrase",
"boost": 10
}
}
]
}
},
{
"bool": {
"must": [
{
"multi_match": {
"query": "simple",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 5
}
},
{
"multi_match": {
"query": "yellow",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 5
}
},
{
"multi_match": {
"query": "shovel",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 5
}
}
]
}
},
{
"multi_match": {
"query": "simple",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 2
}
},
{
"multi_match": {
"query": "yellow",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 2
}
},
{
"multi_match": {
"query": "shovel",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 2
}
}
]
}
}
}
could anyone please verify this? You could refer to Boost Query link for more info. Is this what you are looking for?
I hope this helps!
EDIT : Rewritten with dis_max
{
"query": {
"bool": {
"should": [
{
"dis_max": {
"tie_breaker": 0.7,
"queries": [
{
"bool": {
"must": [
{
"multi_match": {
"query": "simple yellow shovel",
"fields": [
"author^7",
"title^3",
"description"
],
"type": "phrase",
"boost": 10
}
}
]
}
},
{
"bool": {
"must": [
{
"dis_max": {
"tie_breaker": 0.7,
"queries": [
{
"multi_match": {
"query": "simple",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 5
}
},
{
"multi_match": {
"query": "yellow",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 5
}
},
{
"multi_match": {
"query": "shovel",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 5
}
}
]
}
}
]
}
},
{
"multi_match": {
"query": "simple",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 2
}
},
{
"multi_match": {
"query": "yellow",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 2
}
},
{
"multi_match": {
"query": "shovel",
"fields": [
"author^7",
"title^3",
"description"
],
"boost": 2
}
}
]
}
}
]
}
}
}
This seems to give me much better results atleast on my dataset. This is a great source to understand dismax
Please play a lot with this and see if you are getting expected results.
Use the help of Explain API.

Answer 2

I've rewritten this using Dis Max Query. Keep in mind that you could try different types to get better results. See these:
best_fields
most_fields
cross_fields
Query:
POST /your_index/your_type/_search
{
"query": {
"dis_max": {
"tie_breaker": 0.7,
"boost": 1.2,
"queries": [
{
"multi_match": {
"query": "simple yellow showel",
"type": "phrase",
"boost": 3,
"fields": [
"title^3",
"author^2",
"description"
]
}
},
{
"multi_match": {
"query": "simple yellow showel",
"operator": "and",
"boost": 2,
"fields": [
"title^3",
"author^2",
"description"
]
}
},
{
"multi_match": {
"query": "simple yellow showel",
"fields": [
"title^3",
"author^2",
"description"
]
}
}
]
}
}
}
Dis Max query will pick document, which scored most from all three queries. And we give additional boost for "type": "phrase" and "operator": "and", while we leave last query untouched.