Understanding boosting in ElasticSearch - elasticsearch

Question

I've been using ElasticSearch for a little bit with the goal of building a search engine and I'm interested in manually changing the IDFs (Inverse Document Frequencies) of each term to match the ones one can measure from the Google Books unigrams.
In order to do that I plan on doing the following:
1) Use only 1 shard (so IDFs are not computed for every shard and they are "global")
2) Get the ttf (total term frequency, which is used to compute the IDFs) for every term by running this query for every document in my index
curl -XGET 'http://localhost:9200/index/document/id_doc/_termvectors?pretty=true' -d '{
"fields" : ["content"],
"offsets" : true,
"term_statistics" : true
}'
3) Use the Google Books unigram model to "rescale" the ttf for every term.
The problem is that, once I've found the "boost" factors I have to use for every term, how can I use this in a query?
For instance, let's consider this example
"query":
{
"bool":{
"should":[
{
"match":{
"title":{
"query":"cat",
"boost":2
}
}
},
{
"match":{
"content":{
"query":"cat",
"boost":2
}
}
}
]
}
}
Does that mean that the IDFs of the term "cat" is going to be boosted / multiplied by a factor of 2?
Also, what happens if instead of search for one word I have a sentence? Would that mean that the IDFs of each word is going to be boosted by 2?
I tried to understand the role of the boost parameter (https://www.elastic.co/guide/en/elasticsearch/guide/current/query-time-boosting.html) and t.getBoost(), but that seems a little confusing.

Answer 1

The boost is used when query with multi query clauses, example:
{
"bool":{
"should":[
{
"match":{
"clause1":{
"query":"query1",
"boost":3
}
}
},
{
"match":{
"clause2":{
"query":"query2",
"boost":2
}
}
},
{
"match":{
"clause3":{
"query":"query1",
"boost":1
}
}
}
]
}
}
In the above query, it means clause1 is three times important than clause3, clause2 is the twice important than clause2, It's not simply multiply 3, 2, because when calculate score, because there is normalized for scores.
also if you just query with one query clause with boost, it's not useful.
An usage scenario for using boost:
A set of page document set with title and content field.
You want to search title and content with some terms, and you think title is more important than content when search these documents. so you can set title query clause boost more than content. Such as if your query hit one document by title field, and one hit document by content field, and you want to hit title field's document prior to the content field document. so boost can help you do it.