基于数字与查询的接近程度进行弹性搜索评分 [英] Elasticsearch scoring based on how close a number is to a query

问题描述

我想根据查询的数量接近得分我的文档。鉴于我有两个文件 document1.field = 1 和 document2.field = 10 ，查询 field = 3 然后我想要 document1._score> document2._score 。或者换句话说，我想要一个像模糊查询的数字。我该如何实现？用例是我想支持价格查询（精确或范围），但是要排序不完全在边界的内容。

I want to score my documents based on on how close a number is to a query. Given I have two documents document1.field = 1 and document2.field = 10, a query field = 3 then I want document1._score > document2._score. Or in other words I want something like a fuzzy query against number. How would I achieve this? The use case is I want to support price queries (exact or range), but want to rank stuff that isn't exactly in the boundaries.

推荐答案

可以使用 custom_score 查询脚本将根据绝对价格和期望价格之间的差异确定升值。应将所需的价格作为参数传递给脚本，以避免对每个请求进行脚本重新编译。

It can be implemented using custom_score query where script will determine boost depending on absolute value of the difference between exact price and desired price. The desired price should be passed to the script as a parameter to avoid script recompilation for every request.

或者，可以使用 custom_filters_score 查询。这里的过滤器将包含所需价格的不同范围。较小的范围将有较高的提升，并在列表中显示较高的范围。

Alternatively, it can be implemented using custom_filters_score query. Filters here will contain different ranges around desired price. Smaller ranges will have higher boost and appear higher in the list than larger ranges.

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