function_score Query
The function_score
query is the ultimate tool for taking control of the scoring process. It allows you to apply a function to each document that matches the main query in order to alter or completely replace the original query _score
.
In fact, you can apply different functions to subsets of the main result set by using filters, which gives you the best of both worlds: efficient scoring with cacheable filters.
It supports several predefined functions out of the box:
-
weight
-
Apply a simple boost to each document without the boost being normalized: a
weight
of2
results in2 * _score
. -
field_value_factor
-
Use the value of a field in the document to alter the
_score
, such as factoring in apopularity
count or number ofvotes
. -
random_score
- Use consistently random scoring to sort results differently for every user, while maintaining the same sort order for a single user.
-
Decay functions—
linear
,exp
,gauss
-
Incorporate sliding-scale values like
publish_date
,geo_location
, orprice
into the_score
to prefer recently published documents, documents near a latitude/longitude (lat/lon) point, or documents near a specified price point. -
script_score
- Use a custom script to take complete control of the scoring logic. If your needs extend beyond those of the functions in this list, write a custom script to implement the logic that you need.
Without the function_score
query, we would not be able to combine the score from a full-text query with a factor like recency. We would have to sort either by _score
or by date
; the effect of one would obliterate the effect of the other. This query allows you to blend the two together: to still sort by full-text relevance, but giving extra weight to recently published documents, or popular documents, or products that are near the user’s price point. As you can imagine, a query that supports all of this can look fairly complex. We’ll start with a simple use case and work our way up the complexity ladder.
转自:https://www.elastic.co/guide/en/elasticsearch/guide/current/function-score-query.html
本文转自张昺华-sky博客园博客,原文链接:http://www.cnblogs.com/bonelee/p/6480761.html,如需转载请自行联系原作者