我正在对"text"one_answers"keywords"字段执行模糊弹性搜索查询。我在弹性搜索中有两个文档，一个是"文本"testPhone5"，另一个则是"testPhone4s"。当我用"testPhone5"执行模糊查询时，我看到两个文档都得到了完全相同的分值。为什么会发生这种情况？
额外信息：我正在使用"uax_url_email"标记器和"小写"过滤器为文档编制索引。
这是我正在进行的查询：
{
query : {
bool: {
// match one or the other fuzzy query
should: [
{
fuzzy: {
text: {
min_similarity: 0.4,
value: 'testphone 5',
prefix_length: 0,
boost: 5,
}
}
},
{
fuzzy: {
keywords: {
min_similarity: 0.4,
value: 'testphone 5',
prefix_length: 0,
boost: 1,
}
}
}
]
}
},
sort: [
'_score'
],
explain: true
}
这就是结果：
{ max_score: 0.47213298,
total: 2,
hits:
[ { _index: 'test',
_shard: 0,
_id: '51fbf95f82e89ae8c300002c',
_node: '0Mtfzbe1RDinU71Ordx-Ag',
_source:
{ next: { id: '51fbf95f82e89ae8c3000027' },
cards: [ '51fbf95f82e89ae8c3000027', [length]: 1 ],
other: false,
_id: '51fbf95f82e89ae8c300002c',
category: '51fbf95f82e89ae8c300002b',
image: 'https://s3.amazonaws.com/sold_category_icons/Smartphones.png',
text: 'testPhone 5',
keywords: [ [length]: 0 ],
__v: 0 },
_type: 'productgroup',
_explanation:
{ details:
[ { details:
[ { details:
[ { details:
[ { details:
[ { value: 3.8888888, description: 'boost' },
{ value: 1.5108256,
description: 'idf(docFreq=2, maxDocs=5)' },
{ value: 0.17020021,
description: 'queryNorm' },
[length]: 3 ],
value: 0.99999994,
description: 'queryWeight, product of:' },
{ details:
[ { details:
[ { value: 1, description: 'termFreq=1.0' },
[length]: 1 ],
value: 1,
description: 'tf(freq=1.0), with freq of:' },
{ value: 1.5108256,
description: 'idf(docFreq=2, maxDocs=5)' },
{ value: 0.625,
description: 'fieldNorm(doc=0)' },
[length]: 3 ],
value: 0.944266,
description: 'fieldWeight in 0, product of:' },
[length]: 2 ],
value: 0.94426596,
description: 'score(doc=0,freq=1.0 = termFreq=1.0n), product of:' },
[length]: 1 ],
value: 0.94426596,
description: 'weight(text:testphone^3.8888888 in 0) [PerFieldSimilarity], result of:' },
[length]: 1 ],
value: 0.94426596,
description: 'sum of:' },
{ value: 0.5, description: 'coord(1/2)' },
[length]: 2 ],
value: 0.47213298,
description: 'product of:' },
_score: 0.47213298 },
{ _index: 'test',
_shard: 4,
_id: '51fbf95f82e89ae8c300002d',
_node: '0Mtfzbe1RDinU71Ordx-Ag',
_source:
{ next: { id: '51fbf95f82e89ae8c3000027' },
cards: [ '51fbf95f82e89ae8c3000029', [length]: 1 ],
other: false,
_id: '51fbf95f82e89ae8c300002d',
category: '51fbf95f82e89ae8c300002b',
image: 'https://s3.amazonaws.com/sold_category_icons/Smartphones.png',
text: 'testPhone 4s',
keywords: [ 'apple', [length]: 1 ],
__v: 0 },
_type: 'productgroup',
_explanation:
{ details:
[ { details:
[ { details:
[ { details:
[ { details:
[ { value: 3.8888888, description: 'boost' },
{ value: 1.5108256,
description: 'idf(docFreq=2, maxDocs=5)' },
{ value: 0.17020021,
description: 'queryNorm' },
[length]: 3 ],
value: 0.99999994,
description: 'queryWeight, product of:' },
{ details:
[ { details:
[ { value: 1, description: 'termFreq=1.0' },
[length]: 1 ],
value: 1,
description: 'tf(freq=1.0), with freq of:' },
{ value: 1.5108256,
description: 'idf(docFreq=2, maxDocs=5)' },
{ value: 0.625,
description: 'fieldNorm(doc=0)' },
[length]: 3 ],
value: 0.944266,
description: 'fieldWeight in 0, product of:' },
[length]: 2 ],
value: 0.94426596,
description: 'score(doc=0,freq=1.0 = termFreq=1.0n), product of:' },
[length]: 1 ],
value: 0.94426596,
description: 'weight(text:testphone^3.8888888 in 0) [PerFieldSimilarity], result of:' },
[length]: 1 ],
value: 0.94426596,
description: 'sum of:' },
{ value: 0.5, description: 'coord(1/2)' },
[length]: 2 ],
value: 0.47213298,
description: 'product of:' },
_score: 0.47213298 },
[length]: 2 ] }
模糊查询不会被分析，但字段是这样的，因此您对距离为0.4的testphone 5的搜索会产生两个文档的分析术语testphone，该术语用于进一步筛选结果
description:'weight（text:testphone^3.8888888 in 0）[PerFieldSimilarity]，结果为：'｝，
另请点击此处查看@imotov的精彩回答：ElasticSearch'；s模糊查询
您可以看到使用_analyze API 对字符串进行标记的具体方式
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/indices-analyze.html
即
http://localhost:9200/prefix_test/_analyze?field=text&text=testphone+5
将返回：
{
"tokens": [
{
"token": "testphone",
"start_offset": 0,
"end_offset": 9,
"type": "<ALPHANUM>",
"position": 1
},
{
"token": "5",
"start_offset": 10,
"end_offset": 11,
"type": "<NUM>",
"position": 2
}
]
}
因此，即使对值testphone sammsung进行索引，对"testphone samsink"的模糊查询也不会像samsunk那样产生任何结果。
不分析（或使用关键字分析器）字段可能会得到更好的结果。
如果要对单个字段进行不同的分析，可以使用multi_field构造。
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/mapping-multi-field-type.html
我最近也遇到过这个问题。我不能确切地告诉你为什么会发生这种情况，但我可以告诉你我是如何解决的：
我在同一个字段上运行了两个查询，一个具有完全匹配，然后在启用模糊匹配和较低提升的情况下在同一字段上运行完全相同的查询。
这确保了我的精确匹配总是比模糊匹配结束得更高。
p.S。我认为他们的得分是相等的，因为由于模糊性，只要双方都匹配，双方比赛和ES就不在乎其中一方是完全匹配的，但这纯粹是我的理论，因为我对评分算法并不熟悉。