【发布时间】：2017-08-02 11:59:58
【问题描述】：
拥有这些文件：
{
"created_at" : "2017-07-31T20:30:14-04:00",
"description" : null,
"height" : 3213,
"id" : "1",
"tags" : [
{
"confidence" : 65.48948436785749,
"tag" : "beach"
},
{
"confidence" : 57.31950504425406,
"tag" : "sea"
},
{
"confidence" : 43.58207236617374,
"tag" : "coast"
},
{
"confidence" : 35.6857910950816,
"tag" : "sand"
},
{
"confidence" : 33.660057321079655,
"tag" : "landscape"
},
{
"confidence" : 32.53252312423727,
"tag" : "sky"
}
],
"width" : 5712,
"color" : "#0C0A07",
"boost_multiplier" : 1
}
和
{
"created_at" : "2017-07-31T20:43:17-04:00",
"description" : null,
"height" : 4934,
"id" : "2",
"tags" : [
{
"confidence" : 84.09123410403951,
"tag" : "mountain"
},
{
"confidence" : 56.412795342449456,
"tag" : "valley"
},
{
"confidence" : 48.36547551196872,
"tag" : "landscape"
},
{
"confidence" : 40.51100450186575,
"tag" : "mountains"
},
{
"confidence" : 33.14263528292239,
"tag" : "sky"
},
{
"confidence" : 31.064394646169404,
"tag" : "peak"
},
{
"confidence" : 29.372,
"tag" : "natural elevation"
}
],
"width" : 4016,
"color" : "#FEEBF9",
"boost_multiplier" : 1
}
我想根据每个标签的置信度值计算 _score。例如，如果您搜索“mountain”，它应该只返回 id 为 1 的文档，如果您搜索“landscape”，则 2 的分数应该高于 1，因为 2 中的景观置信度高于 1（48.36 对 33.66）。如果你搜索“coast Landscape”，这个时间分数 1 应该高于 2，因为 doc 1 在 tags 数组中同时有 Coast 和 Landscape。我还想将分数与“boost_multiplier”相乘，以提升某些文档与其他文档的对比。
我在 SO 中发现了这个问题，Elasticsearch: Influence scoring with custom score field in document
但是当我尝试接受的解决方案时（我在我的 ES 服务器中启用了脚本），无论搜索词是什么，它都会返回 _score 1.0 的两个文档。这是我尝试过的查询：
{
"query": {
"nested": {
"path": "tags",
"score_mode": "sum",
"query": {
"function_score": {
"query": {
"match": {
"tags.tag": "coast landscape"
}
},
"script_score": {
"script": "doc[\"confidence\"].value"
}
}
}
}
}
}
我还尝试了 @yahermann 在 cmets 中的建议，将“script_score”替换为“field_value_factor”：{“field”：“confidence”}，结果仍然相同。知道为什么会失败，或者有更好的方法吗？
为了获得完整的图片，这是我使用的映射定义：
{
"mappings": {
"photo": {
"properties": {
"created_at": {
"type": "date"
},
"description": {
"type": "text"
},
"height": {
"type": "short"
},
"id": {
"type": "keyword"
},
"tags": {
"type": "nested",
"properties": {
"tag": { "type": "string" },
"confidence": { "type": "float"}
}
},
"width": {
"type": "short"
},
"color": {
"type": "string"
},
"boost_multiplier": {
"type": "float"
}
}
}
},
"settings": {
"number_of_shards": 1
}
}
更新 按照下面@Joanna 的回答，我尝试了查询，但实际上，无论我在匹配查询、coast、foo、bar 中输入什么，它总是返回两个文档的 _score 1.0，我在 elasticsearch 2.4 上尝试过。 Docker 中的 6、5.3、5.5.1。这是我得到的回复：
HTTP/1.1 200 OK
Content-Type: application/json; charset=UTF-8
Content-Length: 1635
{"took":24,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":2,"max_score":1.0,"hits":[{"_index":"my_index","_type":"my_type","_id":"2","_score":1.0,"_source":{
"created_at" : "2017-07-31T20:43:17-04:00",
"description" : null,
"height" : 4934,
"id" : "2",
"tags" : [
{
"confidence" : 84.09123410403951,
"tag" : "mountain"
},
{
"confidence" : 56.412795342449456,
"tag" : "valley"
},
{
"confidence" : 48.36547551196872,
"tag" : "landscape"
},
{
"confidence" : 40.51100450186575,
"tag" : "mountains"
},
{
"confidence" : 33.14263528292239,
"tag" : "sky"
},
{
"confidence" : 31.064394646169404,
"tag" : "peak"
},
{
"confidence" : 29.372,
"tag" : "natural elevation"
}
],
"width" : 4016,
"color" : "#FEEBF9",
"boost_multiplier" : 1
}
},{"_index":"my_index","_type":"my_type","_id":"1","_score":1.0,"_source":{
"created_at" : "2017-07-31T20:30:14-04:00",
"description" : null,
"height" : 3213,
"id" : "1",
"tags" : [
{
"confidence" : 65.48948436785749,
"tag" : "beach"
},
{
"confidence" : 57.31950504425406,
"tag" : "sea"
},
{
"confidence" : 43.58207236617374,
"tag" : "coast"
},
{
"confidence" : 35.6857910950816,
"tag" : "sand"
},
{
"confidence" : 33.660057321079655,
"tag" : "landscape"
},
{
"confidence" : 32.53252312423727,
"tag" : "sky"
}
],
"width" : 5712,
"color" : "#0C0A07",
"boost_multiplier" : 1
}
}]}}
UPDATE-2 我在 SO 上找到了这个：Elasticsearch: "function_score" with "boost_mode":"replace" ignores function score
它基本上说，如果函数不匹配，则返回 1。这是有道理的，但我正在为相同的文档运行查询。这令人困惑。
最终更新 终于发现问题了，傻了。 ES101，如果您向搜索 api 发送 GET 请求，它会返回所有分数为 1.0 的文档 :) 您应该发送 POST 请求...谢谢@Joanna，它完美运行！！！
【问题讨论】：
标签： elasticsearch