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solr 评分 - fieldnorm

转载 作者：行者123 更新时间：2023-12-04 23:28:52 30 4
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当我搜索“iphone”时，我有以下记录和分数 -

记录1:
字段名称 - 显示名称:“iPhone”
字段名称 - 名称:“iPhone”

11.654595 = (MATCH) sum of:
  11.654595 = (MATCH) max plus 0.01 times others of:
    7.718274 = (MATCH) weight(DisplayName:iphone^10.0 in 915195), product of:
      0.6654692 = queryWeight(DisplayName:iphone^10.0), product of:
        10.0 = boost
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.0057376726 = queryNorm
      11.598244 = (MATCH) fieldWeight(DisplayName:iphone in 915195), product of:
        1.0 = tf(termFreq(DisplayName:iphone)=1)
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        1.0 = fieldNorm(field=DisplayName, doc=915195)
    11.577413 = (MATCH) weight(Name:iphone^15.0 in 915195), product of:
      0.99820393 = queryWeight(Name:iphone^15.0), product of:
        15.0 = boost
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.0057376726 = queryNorm
      11.598244 = (MATCH) fieldWeight(Name:iphone in 915195), product of:
        1.0 = tf(termFreq(Name:iphone)=1)
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        1.0 = fieldNorm(field=Name, doc=915195)

记录2:
字段名称 - 显示名称:“Iphone Book”
FieldName - 名称:“Iphone Book” 
7.284122 = (MATCH) sum of:
  7.284122 = (MATCH) max plus 0.01 times others of:
    4.823921 = (MATCH) weight(DisplayName:iphone^10.0 in 453681), product of:
      0.6654692 = queryWeight(DisplayName:iphone^10.0), product of:
        10.0 = boost
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.0057376726 = queryNorm
      7.2489023 = (MATCH) fieldWeight(DisplayName:iphone in 453681), product of:
        1.0 = tf(termFreq(DisplayName:iphone)=1)
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.625 = fieldNorm(field=DisplayName, doc=453681)
    7.2358828 = (MATCH) weight(Name:iphone^15.0 in 453681), product of:
      0.99820393 = queryWeight(Name:iphone^15.0), product of:
        15.0 = boost
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.0057376726 = queryNorm
      7.2489023 = (MATCH) fieldWeight(Name:iphone in 453681), product of:
        1.0 = tf(termFreq(Name:iphone)=1)
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.625 = fieldNorm(field=Name, doc=453681)

记录3:
字段名称 - 显示名称:“iPhone”
字段名称 - 名称:“iPhone” 
7.284122 = (MATCH) sum of:
  7.284122 = (MATCH) max plus 0.01 times others of:
    4.823921 = (MATCH) weight(DisplayName:iphone^10.0 in 5737775), product of:
      0.6654692 = queryWeight(DisplayName:iphone^10.0), product of:
        10.0 = boost
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.0057376726 = queryNorm
      7.2489023 = (MATCH) fieldWeight(DisplayName:iphone in 5737775), product of:
        1.0 = tf(termFreq(DisplayName:iphone)=1)
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.625 = fieldNorm(field=DisplayName, doc=5737775)
    7.2358828 = (MATCH) weight(Name:iphone^15.0 in 5737775), product of:
      0.99820393 = queryWeight(Name:iphone^15.0), product of:
        15.0 = boost
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.0057376726 = queryNorm
      7.2489023 = (MATCH) fieldWeight(Name:iphone in 5737775), product of:
        1.0 = tf(termFreq(Name:iphone)=1)
        11.598244 = idf(docFreq=484, maxDocs=19431244)
        0.625 = fieldNorm(field=Name, doc=5737775)

当 record2 有 3 个单词而 record3 只有一个单词时，为什么 Record2 和 Record3 的分数相同。所以Record3应该比record 2具有更高的相关性。为什么Record2和Record3的fieldNorm是一样的？

查询解析器:Dismax
FieldType:solrconfig.xml 中默认的文本字段类型

添加数据馈送:

记录1:iPhone 
{
        "ListPrice":1184.526,
        "ShipsTo":1,
        "OID":"190502",
        "EAN":"9780596804299",
        "ISBN":"0596804296",
        "Author":"Pogue, David",
        "product_type_fq":"Books",
        "ShipmentDurationDays":"21",
        "CurrencyValue":"24.9900",
        "ShipmentDurationText":"NORMALLY SHIPS IN 21 BUSINESS DAYS",
        "Availability":0,
        "COD":0,
        "PublicationDate":"2009-08-07 00:00:00.0",
        "Discount":"25",
        "SubCategory_fq":"Hardware",
        "Binding":"Paperback",
        "Category_fq":"Non Classifiable",
        "ShippingCharges":"0",
        "OIDType":8,
        "Pages":"397",
        "CallOrder":"0",
        "TrackInventory":"Ingram",
        "Author_fq":"Pogue, David",
        "DisplayName":"Iphone",
        "url":"/iphone-pogue-david/books/9780596804299.htm",
        "CurrencyType":"USD",
        "SubSubCategory":"Handheld Devices",
        "Mask":0,
        "Publisher":"Oreilly & Associates Inc",
        "Name":"Iphone",
        "Language":"English",
        "DisplayPriority":"999",
        "rowid":"books_9780596804299"
        }

Record2:Iphone Book 
{
        "ListPrice":1184.526,
        "ShipsTo":1,
        "OID":"94694",
        "EAN":"9780321534101",
        "ISBN":"0321534107",
        "Author":"Kelby, Scott/ White, Terry",
        "product_type_fq":"Books",
        "ShipmentDurationDays":"21",
        "CurrencyValue":"24.9900",
        "ShipmentDurationText":"NORMALLY SHIPS IN 21 BUSINESS DAYS",
        "Availability":1,
        "COD":0,
        "PublicationDate":"2007-08-13 00:00:00.0",
        "Discount":"25",
        "SubCategory_fq":"Handheld Devices",
        "Binding":"Paperback",
        "BAMcategory_src":"Computers",
        "Category_fq":"Computers",
        "ShippingCharges":"0",
        "OIDType":8,
        "Pages":"219",
        "CallOrder":"0",
        "TrackInventory":"Ingram",
        "Author_fq":"Kelby, Scott/ White, Terry",
        "DisplayName":"The Iphone Book",
        "url":"/iphone-book-kelby-scott-white-terry/books/9780321534101.htm",
        "CurrencyType":"USD",
        "SubSubCategory":" Handheld Devices",
        "BAMcategory_fq":"Computers",
        "Mask":0,
        "Publisher":"Pearson P T R",
        "Name":"The Iphone Book",
        "Language":"English",        
        "DisplayPriority":"999",
        "rowid":"books_9780321534101"
        }

记录三:iPhone 
{
        "ListPrice":278.46,
        "ShipsTo":1,
        "OID":"694715",
        "EAN":"9781411423527",
        "ISBN":"1411423526",
        "Author":"Quamut (COR)",
        "product_type_fq":"Books",
        "ShipmentDurationDays":"21",
        "CurrencyValue":"5.9500",
        "ShipmentDurationText":"NORMALLY SHIPS IN 21 BUSINESS DAYS",
        "Availability":0,
        "COD":0,
        "PublicationDate":"2010-08-03 00:00:00.0",
        "Discount":"25",
        "SubCategory_fq":"Hardware",
        "Binding":"Paperback",
        "Category_fq":"Non Classifiable",
        "ShippingCharges":"0",
        "OIDType":8,
        "CallOrder":"0",        
        "TrackInventory":"BNT",
        "Author_fq":"Quamut (COR)",
        "DisplayName":"iPhone",
        "url":"/iphone-quamut-cor/books/9781411423527.htm",
        "CurrencyType":"USD",
        "SubSubCategory":"Handheld Devices",
        "Mask":0,
        "Publisher":"Sterling Pub Co Inc",
        "Name":"iPhone",
        "Language":"English",
        "DisplayPriority":"999",
        "rowid":"books_9781411423527"
        }

最佳答案

fieldnorm 考虑了字段长度，即术语的数量。
使用的字段类型是字段显示名称和名称的文本，其中包含停用词和单词分隔符过滤器。

记录 1 - Iphone将生成单个 token - IPhone
记录 2 - The Iphone Book将生成 2 个 token - Iphone, Book将被停用词删除。

记录 3 - iPhone也会生成 2 个 token - i,phone由于 iPhone 有大小写更改，带有 splitOnCaseChange 的单词分隔符过滤器现在会将 iPhone 拆分为 2 个标记 i，Phone，并将生成与 Record 2 相同的字段规范

关于solr 评分 - fieldnorm，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/8054250/

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