Elasticsearch中的加权随机抽样
我需要从ElasticSearch指数获得了随机抽样,即发出查询检索从加权概率定索引一些文档Wj/ΣWi
(这里Wj
是行的权重j
,并Wj/ΣWi
在此查询所有文件的权重的总和)。
当前,我有以下查询:
GET products/_search?pretty=true{"size":5,
"query": {
"function_score": {
"query": {
"bool":{
"must": {
"term":
{"category_id": "5df3ab90-6e93-0133-7197-04383561729e"}
}
}
},
"functions":
[{"random_score":{}}]
}
},
"sort": [{"_score":{"order":"desc"}}]
}
它从选定类别中随机返回5个项目。每个项目都有一个字段weight
。所以,我可能必须使用
"script_score": { "script": "weight = data['weight'].value / SUM; if (_score.doubleValue() > weight) {return 1;} else {return 0;}"
}
作为描述在这里。
我有以下问题:
- 正确的方法是什么?
- 我需要启用动态脚本吗?
- 如何计算查询的总和?
非常感谢你的帮助!
回答:
万一它对任何人都有帮助,这就是我最近实施加权改组的方式。
在此示例中,我们对公司进行了洗牌。每个公司都有一个介于0到100之间的“
company_score”。通过这种简单的加权改组,得分为100的公司出现在首页的可能性是得分为20的公司的5倍。
json_body = { "sort": ["_score"],
"query": {
"function_score": {
"query": main_query, # put your main query here
"functions": [
{
"random_score": {},
},
{
"field_value_factor": {
"field": "company_score",
"modifier": "none",
"missing": 0,
}
}
],
# How to combine the result of the two functions 'random_score' and 'field_value_factor'.
# This way, on average the combined _score of a company having score 100 will be 5 times as much
# as the combined _score of a company having score 20, and thus will be 5 times more likely
# to appear on first page.
"score_mode": "multiply",
# How to combine the result of function_score with the original _score from the query.
# We overwrite it as our combined _score (random x company_score) is all we need.
"boost_mode": "replace",
}
}
}
以上是 Elasticsearch中的加权随机抽样 的全部内容, 来源链接: utcz.com/qa/424556.html