您好,有人可以帮助我了解Elasticsearch如何评估令牌的相关性吗?我有一个字段 nn ,其映射类似于
{
"settings": {
"index": {
"refresh_interval": "-1",
"number_of_shards": "4",
"analysis": {
"filter": {
"stopwords_SK": {
"ignore_case": "true",
"type": "stop",
"stopwords_path": "stopwords/slovak.txt"
},
"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": "2",
"max_gram": "20"
}
},
"analyzer": {
"autocomplete": {
"filter": [
"stopwords_SK",
"lowercase",
"stopwords_SK",
"autocomplete_filter"
],
"type": "custom",
"tokenizer": "standard"
}
}
},
"number_of_replicas": "1"
}
},
"mappings": {
"doc": {
"dynamic": "strict",
"properties": {
"nn": {
"type": "text",
"fielddata": true,
"fields": {
"raw": {
"type": "keyword"
}
},
"boost": 10,
"analyzer": "autocomplete"
}
}
}
}
}
通过标准标记生成器对nn字段进行了标记。接下来的简单查询效果很好,并返回相关结果,例如“ softone sro”,“ softec sro” ...
{
"_source": [
"nn",
"nazov"
],
"size": 10,
"query": {
"bool": {
"must": [
{
"match": {
"nn": "softo"
}
}
]
}
}
}
但是,如果我需要在查询中添加应该条件,它绝对不会返回任何相关结果,并且会丢失先前最相关的内容,例如“ sofone”或“ softex”。它返回例如“ zo soz kovo zts nova as zts elektronika as ”或“ agentura socialnych sluzieb ass no ” ... 这是应查询
{
"_source": [
"nn",
"nazov"
],
"size": 10,
"query": {
"bool": {
"must": [
{
"match": {
"nn": "softo"
}
}
],
"should": [
{
"match": {
"nn": "as"
}
},
{
"match": {
"nn": "sro"
}
}
]
}
}
}
为什么应查询结果中缺少与第一次查询最相关的“ sofone”和“ softex”项?尽管相关性是基于令牌长度的,但这意味着“ sotf”令牌比“ so”令牌更相关。 谢谢。