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pub struct FunctionScoreQuery { /* private fields */ }
Expand description

The function_score allows you to modify the score of documents that are retrieved by a query.

This can be useful if, for example, a score function is computationally expensive and it is sufficient to compute the score on a filtered set of documents.

To use function_score, the user has to define a query and one or more functions, that compute a new score for each document returned by the query.

To create function_score query:

Query::function_score(Query::term("test", 1))
    .function(RandomScore::new())
    .function(Weight::new(2.0))
    .max_boost(2.2)
    .min_score(2.3)
    .score_mode(FunctionScoreMode::Avg)
    .boost_mode(FunctionScoreBoostMode::Max)
    .boost(1.1)
    .name("test");

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html

Implementations

Push function to the list

Maximum score value after applying all the functions

By default, modifying the score does not change which documents match. To exclude documents that do not meet a certain score threshold the min_score parameter can be set to the desired score threshold.

Each document is scored by the defined functions. The parameter score_mode specifies how the computed scores are combined

The newly computed score is combined with the score of the query. The parameter boost_mode defines how.

Floating point number used to decrease or increase the relevance scores of a query. Defaults to 1.0.

You can use the boost parameter to adjust relevance scores for searches containing two or more queries.

Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.

You can use named queries to track which queries matched returned documents. If named queries are used, the response includes a matched_queries property for each hit.

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html#named-queries

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