Ignoring TF-IDF in Elastic Search

Question

I have a use case of resume screening candidates based on job description keywords. Since I cannot afford change in score each time a new candidate profile is added to the content list (I assume IDF will change), I want to omit TF_IDF.

The indexed document is

{
                "_index": "crawler_profiles",
                "_type": "_doc",
                "_id": "81ebeb3ff52d90a488b7bce752a4a0cf",
                "_score": 1,
                "_source": {
                    "content": "Peachtree MBA"
                    }
}

As per the documentation here, I created following query

 {
  "query": {
    "bool": {
      "should": [
        { "constant_score": {
          "query": { "match": { "content": "corporate strategy" }}
        }},
        { "constant_score": {
          "query": { "match": { "content": "strategy consulting" }}
        }},
        { "constant_score": {
          "query": { "match": { "content": "international strategy" }}
        }},
        { "constant_score": {
          "query": { "match": { "content": "MBA" }}
        }}
      ]
    }
  }
}

I am getting following error

[constant_score] query does not support [query]

All I want is to score 1 for 1-or-n existence of a term and 0 if does not exist(eventually skip tf-idf). Any help is appreciated.

ES version: 6.4.2

Answer 1

The documentation that you have linked is for ES version 2.x. In 6.4.x there are some changes as shown here: https://www.elastic.co/guide/en/elasticsearch/reference/6.4/query-dsl-constant-score-query.html

You should be able to update your query to something like this:

EDIT: Updated the "term" filters to use "match" .

{
  "query": {
    "bool": {
      "should": [
        { "constant_score": {
          "filter": { "match": { "description": "corporate strategy" }}
        }},
        { "constant_score": {
          "filter": { "match": { "description": "strategy consulting" }}
        }},
        { "constant_score": {
          "filter": { "match": { "description": "international strategy" }}
        }},
        { "constant_score": {
          "filter": { "match": { "description": "MBA" }}
        }}
      ]
    }
  }
}