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| − | =check the detail of Lucene score= | + | =query = |
| − | *data | + | *[[multi query in multi field]] |
| − | d0 [{如何，怎么}} {办理，办} {户口，户口本} # 到当地派出所办理 # 如何办理户口
| + | * [[improved search method by rewrited query]] |
| − | d1 {办理，办} {户口，户口本} [{流程，步骤}] # 到当地派出所办理 # 如何办理户口
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| − | d2 [{如何，怎么}} {办理，办} {身份证，身份} # 到当地派出所办理 # 如何办理身份证
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| − | d3 {办理，办} {身份证} [{流程，步骤}] # 到当地派出所办理 # 如何办理身份证
| + | |
| − | *搜索
| + | |
| − | query:"如何办理户口" => question:如何 question:办理户口
| + | |
| − | *result
| + | |
| − | doc=0 score=0.114656925 shardIndex=-1|0.114656925 = (MATCH) product of:
| + | |
| − | 0.22931385 = (MATCH) sum of:
| + | |
| − | 0.22931385 = (MATCH) weight(question:如何 in 0) [DefaultSimilarity], result of:
| + | |
| − | 0.22931385 = score(doc=0,freq=1.0 = termFreq=1.0
| + | |
| − | ), product of:
| + | |
| − | 0.4748871 = queryWeight, product of:
| + | |
| − | 1.287682 = idf(docFreq=2, maxDocs=4)
| + | |
| − | 0.3687922 = queryNorm
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| − | 0.48288077 = fieldWeight in 0, product of:
| + | |
| − | 1.0 = tf(freq=1.0), with freq of:
| + | |
| − | 1.0 = termFreq=1.0
| + | |
| − | 1.287682 = idf(docFreq=2, maxDocs=4)
| + | |
| − | 0.375 = fieldNorm(doc=0)
| + | |
| − | 0.5 = coord(1/2)
| + | |
| − | *详细计算流score(query,d0) | + | |
| − | *参考公式：[http://lucene.apache.org/core/4_0_0/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html]
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| − | [[文件:QQ截图20141128164958.png]]
| + | |
| − | :* tf("如何" in d0)=sqrt{frequency}= sqrt{1}=1
| + | |
| − | :* idf("如何")=<math>1+ln( {numDocs}/{docFreq+1})=1+ln( {4}/{2+1} )
| + | |
| − | :* 如何".getboost=1
| + | |
| − | :* coord(如何，d0) : 0.5 = coord(1/2)
| + | |
| − | coord(t,d)=overlap /maxOverlap .
| + | |
| − | overlap - the number of query terms matched in the document
| + | |
| − | maxOverlap - the total number of terms in the query
| + | |
| − | :* queryNorm(q)= 1/sqrt(sumOfSquaredWeights)=1/sqrt(sum(idf("如何")*1+idf("办理户口")))=1/sqrt(1*(1.287682*1.287682+1)).
| + | |
| − | sumOfSquaredWeights = q.getBoost()*q.getBoost()*∑( idf(t) *t.getBoost() )^2
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