我自己做了一个fate游戏的数据库，里面有两个人如下：
我采用了ES自己的那个smartcn analyzer插件。我的搜索词是“不列颠传说中的王”，分词器分出来是“不列颠/传说/中/的/王”。
我自己预期中，应该是“阿尔托莉雅・潘德拉贡”这条的score比“吉尔伽美什”高。但是我搜索后，返回的结果是：
“吉尔伽美什”的score： 2.447756
“阿尔托莉雅・潘德拉贡”的score： 1.9885943
请问这是为什么啊，谢谢！
补充： 这是对阿尔托莉雅这条数据做explain请求后的结果：
发现问题在这里：
"description": "weight(_all:不列颠 in 0) [PerFieldSimilarity], result of:",
但为什么是 in 0呢？明明我原文description里面有不列颠啊。
{
"name": "阿尔托莉雅・潘德拉贡",
"class": "Saber",
"description": "不列颠传说中的王，被称为骑士王。阿尔托莉雅是幼名，从成为王的那一天起就被称为亚瑟王。在那个骑士道如花般凋零的时代，用手中的圣剑为不列颠带来了短暂的和平与最后的繁荣。虽然史实上是男性，但在这个世界似乎是男装的丽人。"
}{
"name": "吉尔伽美什",
"class": "Archer",
"description": "公元以前统治着苏美尔的都市国家乌鲁克的半神半人的王者。不仅仅是传说而是真实存在的人物，记述于人类最古的叙事诗《吉尔伽美什叙事诗》中的王。"
}我采用了ES自己的那个smartcn analyzer插件。我的搜索词是“不列颠传说中的王”，分词器分出来是“不列颠/传说/中/的/王”。
我自己预期中，应该是“阿尔托莉雅・潘德拉贡”这条的score比“吉尔伽美什”高。但是我搜索后，返回的结果是：
“吉尔伽美什”的score： 2.447756
“阿尔托莉雅・潘德拉贡”的score： 1.9885943
请问这是为什么啊，谢谢！
补充： 这是对阿尔托莉雅这条数据做explain请求后的结果：
{
"_index": "fgo",
"_type": "servant",
"_id": "1",
"matched": true,
"explanation": {
"value": 1.9885945,
"description": "sum of:",
"details": [
{
"value": 1.9885945,
"description": "sum of:",
"details": [
{
"value": 0.39341488,
"description": "weight(_all:不列颠 in 0) [PerFieldSimilarity], result of:",
"details": [
{
"value": 0.39341488,
"description": "score(doc=0,freq=2.0 = termFreq=2.0\n), product of:",
"details": [
{
"value": 0.2876821,
"description": "idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:",
"details": [
{
"value": 1,
"description": "docFreq",
"details": []
},
{
"value": 1,
"description": "docCount",
"details": []
}
]
},
{
"value": 1.3675334,
"description": "tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:",
"details": [
{
"value": 2,
"description": "termFreq=2.0",
"details": []
},
{
"value": 1.2,
"description": "parameter k1",
"details": []
},
{
"value": 0.75,
"description": "parameter b",
"details": []
},
{
"value": 82,
"description": "avgFieldLength",
"details": []
},
{
"value": 83.591835,
"description": "fieldLength",
"details": []
}
]
}
]
}
]
},
{
"value": 0.28541544,
"description": "weight(_all:传说 in 0) [PerFieldSimilarity], result of:",
"details": [
{
"value": 0.28541544,
"description": "score(doc=0,freq=1.0 = termFreq=1.0\n), product of:",
"details": [
{
"value": 0.2876821,
"description": "idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:",
"details": [
{
"value": 1,
"description": "docFreq",
"details": []
},
{
"value": 1,
"description": "docCount",
"details": []
}
]
},
{
"value": 0.992121,
"description": "tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:",
"details": [
{
"value": 1,
"description": "termFreq=1.0",
"details": []
},
{
"value": 1.2,
"description": "parameter k1",
"details": []
},
{
"value": 0.75,
"description": "parameter b",
"details": []
},
{
"value": 82,
"description": "avgFieldLength",
"details": []
},
{
"value": 83.591835,
"description": "fieldLength",
"details": []
}
]
}
]
}
]
},
{
"value": 0.28541544,
"description": "weight(_all:中 in 0) [PerFieldSimilarity], result of:",
"details": [
{
"value": 0.28541544,
"description": "score(doc=0,freq=1.0 = termFreq=1.0\n), product of:",
"details": [
{
"value": 0.2876821,
"description": "idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:",
"details": [
{
"value": 1,
"description": "docFreq",
"details": []
},
{
"value": 1,
"description": "docCount",
"details": []
}
]
},
{
"value": 0.992121,
"description": "tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:",
"details": [
{
"value": 1,
"description": "termFreq=1.0",
"details": []
},
{
"value": 1.2,
"description": "parameter k1",
"details": []
},
{
"value": 0.75,
"description": "parameter b",
"details": []
},
{
"value": 82,
"description": "avgFieldLength",
"details": []
},
{
"value": 83.591835,
"description": "fieldLength",
"details": []
}
]
}
]
}
]
},
{
"value": 0.53913236,
"description": "weight(_all:的 in 0) [PerFieldSimilarity], result of:",
"details": [
{
"value": 0.53913236,
"description": "score(doc=0,freq=7.0 = termFreq=7.0\n), product of:",
"details": [
{
"value": 0.2876821,
"description": "idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:",
"details": [
{
"value": 1,
"description": "docFreq",
"details": []
},
{
"value": 1,
"description": "docCount",
"details": []
}
]
},
{
"value": 1.874056,
"description": "tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:",
"details": [
{
"value": 7,
"description": "termFreq=7.0",
"details": []
},
{
"value": 1.2,
"description": "parameter k1",
"details": []
},
{
"value": 0.75,
"description": "parameter b",
"details": []
},
{
"value": 82,
"description": "avgFieldLength",
"details": []
},
{
"value": 83.591835,
"description": "fieldLength",
"details": []
}
]
}
]
}
]
},
{
"value": 0.48521632,
"description": "weight(_all:王 in 0) [PerFieldSimilarity], result of:",
"details": [
{
"value": 0.48521632,
"description": "score(doc=0,freq=4.0 = termFreq=4.0\n), product of:",
"details": [
{
"value": 0.2876821,
"description": "idf, computed as log(1 + (docCount - docFreq + 0.5) / (docFreq + 0.5)) from:",
"details": [
{
"value": 1,
"description": "docFreq",
"details": []
},
{
"value": 1,
"description": "docCount",
"details": []
}
]
},
{
"value": 1.6866407,
"description": "tfNorm, computed as (freq * (k1 + 1)) / (freq + k1 * (1 - b + b * fieldLength / avgFieldLength)) from:",
"details": [
{
"value": 4,
"description": "termFreq=4.0",
"details": []
},
{
"value": 1.2,
"description": "parameter k1",
"details": []
},
{
"value": 0.75,
"description": "parameter b",
"details": []
},
{
"value": 82,
"description": "avgFieldLength",
"details": []
},
{
"value": 83.591835,
"description": "fieldLength",
"details": []
}
]
}
]
}
]
}
]
},
{
"value": 0,
"description": "match on required clause, product of:",
"details": [
{
"value": 0,
"description": "# clause",
"details": []
},
{
"value": 1,
"description": "*:*, product of:",
"details": [
{
"value": 1,
"description": "boost",
"details": []
},
{
"value": 1,
"description": "queryNorm",
"details": []
}
]
}
]
}
]
}
}发现问题在这里：
"description": "weight(_all:不列颠 in 0) [PerFieldSimilarity], result of:",
但为什么是 in 0呢？明明我原文description里面有不列颠啊。
2 个回复
medcl - 今晚打老虎。
赞同来自: kilik52
kilik52
赞同来自: 夏李俊
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