Relevance score (_score) in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to retrieve the relevance score (_score) for each search hit.

Elasticsearch

{
  "query": {
    "match": {
      "message": "search text"
    }
  },
  "_source": ["message"],
  "fields": ["[1]"]
}

Drag options to blanks, or click blank then click option'

Arelevance

B_score

Cscore

Drank

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'score' without underscore

Using 'relevance' or 'rank' which are not valid fields

The relevance score is stored in the _score field in Elasticsearch search hits.

2fill in blank

medium

Complete the code to sort search results by their relevance score in descending order.

Elasticsearch

{
  "query": {
    "match_all": {}
  },
  "sort": [
    {"[1]": {"order": "desc"}}
  ]
}

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A_score

Bmessage

Ctimestamp

Did

Attempts:

3 left

💡 Hint

Common Mistakes

Sorting by fields like 'message' or 'timestamp' instead of '_score'

Using ascending order which shows least relevant first

Sorting by _score in descending order shows the most relevant results first.

3fill in blank

hard

Fix the error in the query to correctly boost documents with the term 'urgent' to increase their relevance score.

Elasticsearch

{
  "query": {
    "bool": {
      "should": [
        {"match": {"message": "[1]"}},
        {"match": {"message": {"query": "urgent", "boost": 2}}}
      ]
    }
  }
}

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Aimportant

Bhigh

Cnormal

Durgent

Attempts:

3 left

💡 Hint

Common Mistakes

Using a different term than 'urgent' in the first match query

Not applying boost correctly

The first match query should search for the main term, here 'urgent', to apply boosting properly.

4fill in blank

hard

Fill both blanks to create a function score query that multiplies the relevance score by 3 for documents with 'priority' in the tag field.

Elasticsearch

{
  "query": {
    "function_score": {
      "query": {"match_all": {}},
      "functions": [
        {
          "filter": {"term": {"tags": "[1]"}},
          "weight": [2]
        }
      ]
    }
  }
}

Drag options to blanks, or click blank then click option'

Apriority

Burgent

C3

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong tag name in filter

Using incorrect weight value

The filter should match the tag 'priority' and the weight should be 3 to multiply the score accordingly.

5fill in blank

hard

Fill all three blanks to build a query that boosts documents containing 'error' in the message field by 5 and sorts results by relevance score descending.

Elasticsearch

{
  "query": {
    "function_score": {
      "query": {"match": {"message": "[1]"}},
      "boost": [2],
      "boost_mode": "multiply"
    }
  },
  "sort": [
    {"[3]": {"order": "desc"}}
  ]
}

Drag options to blanks, or click blank then click option'

Aerror

B5

C_score

Dmessage

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong term in match query

Incorrect boost value

Sorting by wrong field

The query matches 'error', boosts by 5, and sorts by _score descending to prioritize relevant results.