Does NGram factory support keyword token-type protection? If so, it could be just a matter of marking a number as keyword.
Regards, Alex. Personal website: http://www.outerthoughts.com/ LinkedIn: http://www.linkedin.com/in/alexandrerafalovitch - Time is the quality of nature that keeps events from happening all at once. Lately, it doesn't seem to be working. (Anonymous - via GTD book) On Wed, Mar 19, 2014 at 11:02 PM, Jack Krupansky <j...@basetechnology.com> wrote: > Interesting point. I think it would be nice to have an option to treat > numeric sequences (or maybe with commas and decimal point as well) as > integral tokens that won't be split by ngramming. It's worth a Jira. > > OTOH, you have to make a value judgment whether a query for "3.14" should > only exact match "3.14" or also ngram match "3.14159", etc. > > > -- Jack Krupansky > > -----Original Message----- From: Andreas Owen > Sent: Wednesday, March 19, 2014 11:44 AM > To: solr-user@lucene.apache.org > Subject: searche for single char number when ngram min is 3 > > > Is there a way to tell ngramfilterfactory while indexing that number shall > never be tokenized? then the query should be able to find numbers. > Or do i have to change the ngram min for numbers to 1, if that is possible? > So to speak put the hole number as token and not all possible tokens. > Or can i tell the query to search numbers differently woth WT, LCF or > whatever? > > I attached a doc with screenshots from solr analyzer > > > -----Original Message----- > From: Andreas Owen [mailto:a...@conx.ch] > Sent: Donnerstag, 13. März 2014 13:44 > To: solr-user@lucene.apache.org > Subject: RE: Re[2]: NOT SOLVED searches for single char tokens instead of > from 3 uppwards > > I have gotten nearly everything to work. There are to queries where i dont > get back what i want. > > "avaloq frage 1" -> only returns if i set minGramSize=1 while indexing > "yh_cug" -> query parser doesn't remove "_" but the indexer does (WDF) so > there is no match > > Is there a way to also query the hole term "avaloq frage 1" without > tokenizing it? > > Fieldtype: > > <fieldType name="text_de" class="solr.TextField" positionIncrementGap="100"> > <analyzer type="index"> > <tokenizer class="solr.StandardTokenizerFactory"/> > <filter class="solr.LowerCaseFilterFactory"/> > <filter class="solr.WordDelimiterFilterFactory" types="at-under-alpha.txt"/> > <filter class="solr.StopFilterFactory" ignoreCase="true" > words="lang/stopwords_de.txt" format="snowball" > enablePositionIncrements="true"/> <!-- remove common words --> > <filter class="solr.GermanNormalizationFilterFactory"/> > <filter class="solr.SnowballPorterFilterFactory" language="German"/> <!-- > remove noun/adjective inflections like plural endings --> > <filter class="solr.NGramFilterFactory" minGramSize="3" maxGramSize="15"/> > <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" > generateNumberParts="1" catenateWords="1" catenateNumbers="1" > catenateAll="0" splitOnCaseChange="1"/> > </analyzer> > <analyzer type="query"> > <tokenizer class="solr.WhiteSpaceTokenizerFactory"/> > <filter class="solr.LowerCaseFilterFactory"/> > <filter class="solr.WordDelimiterFilterFactory" types="at-under-alpha.txt"/> > <filter class="solr.StopFilterFactory" ignoreCase="true" > words="lang/stopwords_de.txt" format="snowball" > enablePositionIncrements="true"/> <!-- remove common words --> > <filter class="solr.GermanNormalizationFilterFactory"/> > <filter class="solr.SnowballPorterFilterFactory" language="German"/> > </analyzer> > </fieldType> > > > -----Original Message----- > From: Andreas Owen [mailto:a...@conx.ch] > Sent: Mittwoch, 12. März 2014 18:39 > To: solr-user@lucene.apache.org > Subject: RE: Re[2]: NOT SOLVED searches for single char tokens instead of > from 3 uppwards > > Hi Jack, > > do you know how i can use local parameters in my solrconfig? The params are > visible in the debugquery-output but solr doesn't parse them. > > <lst name="invariants"> > <str name="fq">{!q.op=OR} (*:* -organisations:["" TO *] -roles:["" TO *]) > (+organisations:($org) +roles:($r)) (-organisations:["" TO *] +roles:($r)) > (+organisations:($org) -roles:["" TO *])</str> </lst> > > > -----Original Message----- > From: Andreas Owen [mailto:a...@conx.ch] > Sent: Mittwoch, 12. März 2014 14:44 > To: solr-user@lucene.apache.org > Subject: Re[2]: NOT SOLVED searches for single char tokens instead of from 3 > uppwards > > yes that is exactly what happend in the analyzer. the term i searched for > was listed on both sides (index & query). > > here's the rest: > > <analyzer type="index"> > <tokenizer class="solr.WhitespaceTokenizerFactory"/> > <!-- in this example, we will only use synonyms at query time > <filter class="solr.SynonymFilterFactory" > synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/> > --> > <!-- Case insensitive stop word removal. > enablePositionIncrements=true ensures that a 'gap' is left to > allow for accurate phrase queries. > --> > <filter class="solr.StopFilterFactory" > ignoreCase="true" > words="stopwords.txt" > enablePositionIncrements="true" > /> > <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" > generateNumberParts="1" catenateWords="1" catenateNumbers="1" > catenateAll="0" splitOnCaseChange="1"/> > <filter class="solr.LowerCaseFilterFactory"/> > <filter class="solr.EnglishPorterFilterFactory" > protected="protwords.txt"/> > <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> > </analyzer> > > -----Original-Nachricht----- >> >> Von: "Jack Krupansky" <j...@basetechnology.com> >> An: solr-user@lucene.apache.org >> Datum: 12/03/2014 13:25 >> Betreff: Re: NOT SOLVED searches for single char tokens instead of >> from 3 uppwards >> >> You didn't show the new index analyzer - it's tricky to assure that >> index and query are compatible, but the Admin UI Analysis page can help. >> >> Generally, using pure defaults for WDF is not what you want, >> especially for query time. Usually there needs to be a slight >> asymmetry between index and query for WDF - index generates more terms >> than query. >> >> -- Jack Krupansky >> >> -----Original Message----- >> From: Andreas Owen >> Sent: Wednesday, March 12, 2014 6:20 AM >> To: solr-user@lucene.apache.org >> Subject: RE: NOT SOLVED searches for single char tokens instead of >> from 3 uppwards >> >> I now have the following: >> >> <analyzer type="query"> >> <tokenizer class="solr.WhiteSpaceTokenizerFactory"/> >> <filter class="solr.WordDelimiterFilterFactory" >> types="at-under-alpha.txt"/> <filter >> class="solr.LowerCaseFilterFactory"/> >> <filter class="solr.StopFilterFactory" ignoreCase="true" >> words="lang/stopwords_de.txt" format="snowball" >> enablePositionIncrements="true"/> <!-- remove common words --> <filter >> class="solr.GermanNormalizationFilterFactory"/> >> <filter class="solr.SnowballPorterFilterFactory" language="German"/> >> </analyzer> >> >> The gui analysis shows me that wdf doesn't cut the underscore anymore >> but it still returns 0 results? >> >> Output: >> >> <lst name="debug"> >> <str name="rawquerystring">yh_cug</str> >> <str name="querystring">yh_cug</str> >> <str name="parsedquery">(+DisjunctionMaxQuery((tags:yh_cug^10.0 | >> links:yh_cug^5.0 | thema:yh_cug^15.0 | plain_text:yh_cug^10.0 | >> url:yh_cug^5.0 | h_*:yh_cug^14.0 | inhaltstyp:yh_cug^6.0 | >> breadcrumb:yh_cug^6.0 | contentmanager:yh_cug^5.0 | title:yh_cug^20.0 >> | >> editorschoice:yh_cug^200.0 | doctype:yh_cug^10.0)) >> ((expiration:[1394619501862 TO *] >> (+MatchAllDocsQuery(*:*) -expiration:*))^6.0) >> FunctionQuery((div(int(clicks),max(int(displays),const(1))))^8.0))/no_ >> coord</str> >> <str name="parsedquery_toString">+(tags:yh_cug^10.0 | >> links:yh_cug^5.0 | >> thema:yh_cug^15.0 | plain_text:yh_cug^10.0 | url:yh_cug^5.0 | >> h_*:yh_cug^14.0 | inhaltstyp:yh_cug^6.0 | breadcrumb:yh_cug^6.0 | >> contentmanager:yh_cug^5.0 | title:yh_cug^20.0 | >> editorschoice:yh_cug^200.0 | >> doctype:yh_cug^10.0) ((expiration:[1394619501862 TO *] >> (+*:* -expiration:*))^6.0) >> (div(int(clicks),max(int(displays),const(1))))^8.0</str> >> <lst name="explain"/> >> <arr name="expandedSynonyms"> >> <str>yh_cug</str> >> </arr> >> <lst name="reasonForNotExpandingSynonyms"> >> <str name="name">DidntFindAnySynonyms</str> >> <str name="explanation">No synonyms found for this query. Check >> your synonyms file.</str> >> </lst> >> <lst name="mainQueryParser"> >> <str name="QParser">ExtendedDismaxQParser</str> >> <null name="altquerystring"/> >> <arr name="boost_queries"> >> <str>(expiration:[NOW TO *] OR (*:* -expiration:*))^6</str> >> </arr> >> <arr name="parsed_boost_queries"> >> <str>(expiration:[1394619501862 TO *] >> (+MatchAllDocsQuery(*:*) -expiration:*))^6.0</str> >> </arr> >> <arr name="boostfuncs"> >> <str>div(clicks,max(displays,1))^8</str> >> </arr> >> </lst> >> <lst name="synonymQueryParser"> >> <str name="QParser">ExtendedDismaxQParser</str> >> <null name="altquerystring"/> >> <arr name="boostfuncs"> >> <str>div(clicks,max(displays,1))^8</str> >> </arr> >> </lst> >> <lst name="timing"> >> >> >> >> >> -----Original Message----- >> From: Jack Krupansky [mailto:j...@basetechnology.com] >> Sent: Dienstag, 11. März 2014 14:25 >> To: solr-user@lucene.apache.org >> Subject: Re: NOT SOLVED searches for single char tokens instead of >> from 3 uppwards >> >> The usual use of an ngram filter is at index time and not at query time. >> What exactly are you trying to achieve by using ngram filtering at >> query time as well as index time? >> >> Generally, it is inappropriate to combine the word delimiter filter >> with the standard tokenizer - the later removes the punctuation that >> normally influences how WDF treats the parts of a token. Use the white >> space tokenizer if you intend to use WDF. >> >> Which query parser are you using? What fields are being queried? >> >> Please post the parsed query string from the debug output - it will >> show the precise generated query. >> >> I think what you are seeing is that the ngram filter is generating >> tokens like "h_cugtest" and then the WDF is removing the underscore and >> then "h" >> gets generated as a separate token. >> >> -- Jack Krupansky >> >> -----Original Message----- >> From: Andreas Owen >> Sent: Tuesday, March 11, 2014 5:09 AM >> To: solr-user@lucene.apache.org >> Subject: RE: NOT SOLVED searches for single char tokens instead of >> from 3 uppwards >> >> I got it roght the first time and here is my requesthandler. The field >> "plain_text" is searched correctly and has the sam fieldtype as >> "title" -> "text_de" >> >> <queryParser name="synonym_edismax" >> class="solr.SynonymExpandingExtendedDismaxQParserPlugin"> >> <lst name="synonymAnalyzers"> >> <lst name="myCoolAnalyzer"> >> <lst name="tokenizer"> >> <str name="class">standard</str> >> </lst> >> <lst name="filter"> >> <str name="class">shingle</str> >> <str name="outputUnigramsIfNoShingles">true</str> >> <str name="outputUnigrams">true</str> >> <str name="minShingleSize">2</str> >> <str name="maxShingleSize">4</str> >> </lst> >> <lst name="filter"> >> <str name="class">synonym</str> >> <str name="tokenizerFactory">solr.KeywordTokenizerFactory</str> >> <str name="synonyms">synonyms.txt</str> >> <str name="expand">true</str> >> <str name="ignoreCase">true</str> >> </lst> >> </lst> >> </lst> >> </queryParser> >> >> <requestHandler name="/select2" class="solr.SearchHandler"> >> <lst name="defaults"> >> <str name="echoParams">explicit</str> >> <int name="rows">10</int> >> <str name="defType">synonym_edismax</str> >> <str name="synonyms">true</str> >> <str name="qf">plain_text^10 editorschoice^200 >> title^20 h_*^14 >> tags^10 thema^15 inhaltstyp^6 breadcrumb^6 doctype^10 >> contentmanager^5 links^5 >> last_modified^5 url^5 >> </str> >> >> <str name="fq">{!q.op=OR} (*:* -organisations:["" TO *] -roles:["" TO >> *]) >> (+organisations:($org) +roles:($r)) (-organisations:["" TO *] >> +roles:($r)) >> (+organisations:($org) -roles:["" TO *])</str> >> <str name="bq">(expiration:[NOW TO *] OR (*:* >> -expiration:*))^6</str> >> <!-- tested: now or newer or empty gets small boost --> >> <str name="bf">div(clicks,max(displays,1))^8</str> <!-- tested --> >> >> <str name="df">text</str> >> <str name="fl">*,path,score</str> >> <str name="wt">json</str> >> <str name="q.op">AND</str> >> >> <!-- Highlighting defaults --> >> <str name="hl">on</str> >> <str name="hl.fl">plain_text,title</str> >> <str name="hl.fragSize">200</str> >> <str name="hl.simple.pre"><b></str> >> <str name="hl.simple.post"></b></str> >> >> <!-- <lst name="invariants"> --> >> <str name="facet">on</str> >> <str name="facet.mincount">1</str> >> <str name="facet.field">{!ex=inhaltstyp_s}inhaltstyp_s</str> >> <str name="f.inhaltstyp_s.facet.sort">index</str> >> <str name="facet.field">{!ex=doctype}doctype</str> >> <str name="f.doctype.facet.sort">index</str> >> <str name="facet.field">{!ex=thema_f}thema_f</str> >> <str name="f.thema_f.facet.sort">index</str> >> <str name="facet.field">{!ex=author_s}author_s</str> >> <str name="f.author_s.facet.sort">index</str> >> <str >> name="facet.field">{!ex=sachverstaendiger_s}sachverstaendiger_s</str> >> <str name="f.sachverstaendiger_s.facet.sort">index</str> >> <str name="facet.field">{!ex=veranstaltung_s}veranstaltung_s</str> >> <str name="f.veranstaltung_s.facet.sort">index</str> >> <str name="facet.date">{!ex=last_modified}last_modified</str> >> <str name="facet.date.gap">+1MONTH</str> >> <str name="facet.date.end">NOW/MONTH+1MONTH</str> >> <str name="facet.date.start">NOW/MONTH-36MONTHS</str> >> <str name="facet.date.other">after</str> >> >> </lst> >> </requestHandler> >> >> >> >> i have a field with the following type: >> >> <fieldType name="text_de" class="solr.TextField" >> positionIncrementGap="100"> >> <analyzer> >> <tokenizer class="solr.StandardTokenizerFactory"/> >> <filter class="solr.LowerCaseFilterFactory"/> >> <filter class="solr.StopFilterFactory" ignoreCase="true" >> words="lang/stopwords_de.txt" format="snowball" >> enablePositionIncrements="true"/> <!-- remove common words --> >> <filter >> class="solr.GermanNormalizationFilterFactory"/> >> <filter class="solr.SnowballPorterFilterFactory" >> language="German"/> >> <filter class="solr.NGramFilterFactory" minGramSize="3" >> maxGramSize="15"/> >> <filter class="solr.WordDelimiterFilterFactory" >> generateWordParts="1" generateNumberParts="1" catenateWords="1" >> catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> >> </analyzer> >> </fieldType> >> >> >> shouldn't this make tokens from 3 to 15 in length and not from 1? >> heres is a query report of 2 results: >> >> > <lst name="responseHeader"> <int name="status">0</int> <int >> > name="QTime">125</int> <lst name="params"> <str >> > name="debugQuery">true</str> <str >> > name="fl">title,roles,organisations,id</str> <str >> > name="indent">true</str> <str name="q">yh_cugtest</str> <str >> > name="_">1394522589347</str> <str name="wt">xml</str> <str >> > name="fq">organisations:* roles:*</str> </lst></lst> <result >> > name="response" numFound="5" start="0"> >> > .......... >> > <str name="dms:2681"> >> > 1.6365329 = (MATCH) sum of: 1.6346203 = (MATCH) max of: >> > 0.14759353 = (MATCH) product of: 0.28596246 = (MATCH) sum of: >> > 0.01528686 = (MATCH) weight(plain_text:cug in 0) >> > [DefaultSimilarity], result of: 0.01528686 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: > 0.035319194 = >> > queryWeight, product of: >> > 5.540098 = idf(docFreq=9, maxDocs=937) 0.0063751927 = >> > queryNorm 0.43282017 = fieldWeight in 0, product of: >> > 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 5.540098 = idf(docFreq=9, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.0119499 = (MATCH) weight(plain_text:ugt >> > in >> > 0) [DefaultSimilarity], result of: 0.0119499 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), >> product of: 0.031227252 = queryWeight, product of: >> > 4.8982444 = idf(docFreq=18, maxDocs=937) 0.0063751927 >> > = queryNorm 0.38267535 = fieldWeight in 0, product of: >> > 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 4.8982444 = idf(docFreq=18, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) weight(plain_text:yhc >> > in 0) [DefaultSimilarity], result of: 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = >> idf(docFreq=4, maxDocs=937) 0.078125 = fieldNorm(doc=0) >> 0.019351374 = (MATCH) >> > weight(plain_text:hcu in 0) [DefaultSimilarity], result of: >> > 0.019351374 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.01528686 = (MATCH) weight(plain_text:cug >> > in >> > 0) [DefaultSimilarity], result of: 0.01528686 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.035319194 = queryWeight, product of: 5.540098 = >> > idf(docFreq=9, maxDocs=937) 0.0063751927 = >> queryNorm 0.43282017 = fieldWeight in 0, product of: >> 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 5.540098 = idf(docFreq=9, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) >> > weight(plain_text:cugt in >> > 0) [DefaultSimilarity], result of: 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, >> > maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) >> > 0.019351374 = (MATCH) weight(plain_text:yhcu in 0) >> > [DefaultSimilarity], result of: >> 0.019351374 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> 0.03973814 = >> > queryWeight, product of: 6.2332454 = idf(docFreq=4, >> > maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.01528686 = (MATCH) weight(plain_text:cug >> > in >> > 0) [DefaultSimilarity], result of: 0.01528686 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.035319194 = queryWeight, product of: 5.540098 = >> > idf(docFreq=9, maxDocs=937) 0.0063751927 = queryNorm >> > 0.43282017 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> 5.540098 = idf(docFreq=9, maxDocs=937) >> 0.078125 = >> fieldNorm(doc=0) >> > 0.019351374 = (MATCH) weight(plain_text:hcug in 0) >> > [DefaultSimilarity], result of: 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) >> > weight(plain_text:cugt in 0) [DefaultSimilarity], result of: >> > 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) >> 0.0063751927 = queryNorm 0.4869723 = fieldWeight in >> 0, product of: >> > 1.0 = tf(freq=1.0), with freq of: 1.0 = >> > termFreq=1.0 6.2332454 = idf(docFreq=4, maxDocs=937) >> > 0.078125 = fieldNorm(doc=0) 0.01528686 = (MATCH) >> > weight(plain_text:cug in 0) [DefaultSimilarity], result of: >> > 0.01528686 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.035319194 = queryWeight, product of: 5.540098 = >> > idf(docFreq=9, maxDocs=937) 0.0063751927 = queryNorm >> > 0.43282017 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 5.540098 = idf(docFreq=9, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) >> > weight(plain_text:yhcug in 0) [DefaultSimilarity], result >> of: 0.019351374 = score(doc=0,freq=1.0 = termFreq=1.0 ), >> product >> of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) >> > weight(plain_text:cugt in 0) [DefaultSimilarity], result of: >> > 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = >> termFreq=1.0 6.2332454 = idf(docFreq=4, maxDocs=937) >> 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) >> > weight(plain_text:hcugt in 0) [DefaultSimilarity], result of: >> > 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.019351374 = (MATCH) >> > weight(plain_text:cugt in 0) [DefaultSimilarity], result of: >> > 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> 0.4869723 = >> > fieldWeight in 0, product of: 1.0 = tf(freq=1.0), with >> > freq of: 1.0 = termFreq=1.0 6.2332454 >> > = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) >> > 0.019351374 = (MATCH) weight(plain_text:yhcugt in 0) >> > [DefaultSimilarity], result of: 0.019351374 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.03973814 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.0063751927 = queryNorm >> > 0.4869723 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.078125 = >> > fieldNorm(doc=0) 0.516129 = coord(16/31) 1.6346203 = >> (MATCH) sum of: 0.08372684 = (MATCH) weight(title:yh in 0) >> [DefaultSimilarity], result of: >> > 0.08372684 = score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.053482 = fieldWeight in 0, product of: 3.6055512 = >> > tf(freq=13.0), with freq of: 13.0 = termFreq=13.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08372684 = (MATCH) weight(title:h in 0) >> > [DefaultSimilarity], result of: 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.053482 = fieldWeight in 0, product of: 3.6055512 = >> > tf(freq=13.0), >> with freq of: 13.0 = termFreq=13.0 6.2332454 >> = >> > idf(docFreq=4, maxDocs=937) 0.046875 = fieldNorm(doc=0) >> > 0.08993706 = (MATCH) weight(title:c in 0) [DefaultSimilarity], >> > result >> > of: 0.08993706 = score(doc=0,freq=15.0 = termFreq=15.0 ), >> > product of: 0.07947628 = queryWeight, product of: >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.012750385 = >> > queryNorm 1.1316214 = fieldWeight in 0, product of: >> > 3.8729835 = tf(freq=15.0), with freq of: 15.0 = >> > termFreq=15.0 6.2332454 = idf(docFreq=4, maxDocs=937) >> > 0.046875 = fieldNorm(doc=0) 0.023221647 = (MATCH) >> > weight(title:hc in 0) [DefaultSimilarity], result of: >> > 0.023221647 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.040221076 = (MATCH) weight(title:cu in 0) >> > [DefaultSimilarity], result of: 0.040221076 = >> > score(doc=0,freq=3.0 = termFreq=3.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.50607646 = fieldWeight in 0, product of: 1.7320508 = >> > tf(freq=3.0), with freq of: 3.0 = termFreq=3.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.046443295 = (MATCH) weight(title:cug in 0) >> > [DefaultSimilarity], result >> of: 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 ), product >> of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.58436674 = fieldWeight in 0, product of: 2.0 = >> > tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.023221647 = (MATCH) weight(title:ugt in 0) >> > [DefaultSimilarity], result of: 0.023221647 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = >> idf(docFreq=4, maxDocs=937) 0.046875 = fieldNorm(doc=0) >> 0.08372684 = (MATCH) >> > weight(title:yh in 0) [DefaultSimilarity], result of: >> > 0.08372684 = score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.053482 = fieldWeight in 0, product of: 3.6055512 = >> > tf(freq=13.0), with freq of: 13.0 = termFreq=13.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08993706 = (MATCH) weight(title:c in 0) >> > [DefaultSimilarity], result of: 0.08993706 = >> > score(doc=0,freq=15.0 = termFreq=15.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.1316214 = fieldWeight >> in 0, product of: 3.8729835 = tf(freq=15.0), with freq of: >> > 15.0 = termFreq=15.0 6.2332454 = idf(docFreq=4, >> > maxDocs=937) 0.046875 = fieldNorm(doc=0) >> > 0.023221647 = (MATCH) weight(title:yhc in 0) [DefaultSimilarity], result >> > > of: >> > 0.023221647 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08372684 = (MATCH) weight(title:h in 0) >> > [DefaultSimilarity], result of: 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = >> queryWeight, product of: 6.2332454 = idf(docFreq=4, >> maxDocs=937) >> > 0.012750385 = queryNorm 1.053482 = fieldWeight in 0, >> > product >> > of: 3.6055512 = tf(freq=13.0), with freq of: >> > 13.0 = termFreq=13.0 6.2332454 = idf(docFreq=4, >> > maxDocs=937) 0.046875 = fieldNorm(doc=0) >> > 0.040221076 = (MATCH) weight(title:cu in 0) [DefaultSimilarity], result >> > > of: >> > 0.040221076 = score(doc=0,freq=3.0 = termFreq=3.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.50607646 = fieldWeight in 0, product of: 1.7320508 = >> > tf(freq=3.0), with freq of: 3.0 = termFreq=3.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.023221647 = (MATCH) >> weight(title:hcu in 0) [DefaultSimilarity], result of: >> 0.023221647 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) >> > 0.046443295 = (MATCH) weight(title:cug in 0) [DefaultSimilarity], >> > result >> > of: 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 ), >> > product >> > of: 0.07947628 = queryWeight, product of: >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.012750385 = >> > queryNorm >> > 0.58436674 = fieldWeight in 0, product of: 2.0 = >> > tf(freq=4.0), with freq of: >> 4.0 = termFreq=4.0 6.2332454 = idf(docFreq=4, >> maxDocs=937) >> > 0.046875 = fieldNorm(doc=0) 0.046443295 = (MATCH) >> > weight(title:cugt in 0) [DefaultSimilarity], result of: >> > 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.58436674 = fieldWeight in 0, product of: 2.0 = >> > tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08372684 = (MATCH) weight(title:yh in 0) >> > [DefaultSimilarity], result of: 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) >> 0.012750385 = queryNorm 1.053482 = fieldWeight in 0, product of: >> > 3.6055512 = tf(freq=13.0), with freq of: 13.0 = >> > termFreq=13.0 6.2332454 = idf(docFreq=4, maxDocs=937) >> > 0.046875 = fieldNorm(doc=0) 0.040221076 = (MATCH) >> > weight(title:cu in 0) [DefaultSimilarity], result of: >> > 0.040221076 = score(doc=0,freq=3.0 = termFreq=3.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.50607646 = fieldWeight in 0, product of: 1.7320508 = >> > tf(freq=3.0), with freq of: 3.0 = termFreq=3.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.023221647 = (MATCH) weight(title:yhcu in 0) >> > [DefaultSimilarity], result of: 0.023221647 = >> > score(doc=0,freq=1.0 = >> termFreq=1.0 ), product of: 0.07947628 = queryWeight, product >> of: >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.012750385 >> > = queryNorm 0.29218337 = fieldWeight in 0, product of: >> > 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08372684 = (MATCH) weight(title:h in 0) >> > [DefaultSimilarity], result of: 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.053482 = fieldWeight in 0, product of: 3.6055512 = >> > tf(freq=13.0), with freq of: 13.0 = termFreq=13.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 >> = fieldNorm(doc=0) 0.046443295 = (MATCH) weight(title:cug in 0) >> [DefaultSimilarity], >> > result of: 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 >> > ), product of: 0.07947628 = queryWeight, product of: >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.012750385 = >> > queryNorm 0.58436674 = fieldWeight in 0, product of: >> > 2.0 = tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.023221647 = (MATCH) weight(title:hcug in 0) >> > [DefaultSimilarity], result of: 0.023221647 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.046875 = fieldNorm(doc=0) >> > 0.046443295 = (MATCH) weight(title:cugt in 0) [DefaultSimilarity], >> > result of: 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 >> > ), product of: 0.07947628 = queryWeight, product of: >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.012750385 = >> > queryNorm 0.58436674 = fieldWeight in 0, product of: >> > 2.0 = tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08372684 = (MATCH) weight(title:yh in 0) >> > [DefaultSimilarity], result of: 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> 1.053482 = >> > fieldWeight in 0, product of: 3.6055512 = tf(freq=13.0), >> > with freq of: 13.0 = termFreq=13.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) >> > 0.046443295 = (MATCH) weight(title:cug in 0) [DefaultSimilarity], >> > result >> > of: 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 ), >> > product >> > of: 0.07947628 = queryWeight, product of: >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.012750385 = >> > queryNorm >> > 0.58436674 = fieldWeight in 0, product of: 2.0 = >> > tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) >> > 0.023221647 = (MATCH) weight(title:yhcug in 0) [DefaultSimilarity], >> > result >> > of: >> 0.023221647 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.08372684 = (MATCH) weight(title:h in 0) >> > [DefaultSimilarity], result of: 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.053482 = fieldWeight in 0, product of: 3.6055512 = >> > tf(freq=13.0), with freq of: 13.0 = termFreq=13.0 >> > 6.2332454 = >> idf(docFreq=4, maxDocs=937) 0.046875 = fieldNorm(doc=0) >> 0.046443295 = (MATCH) >> > weight(title:cugt in 0) [DefaultSimilarity], result of: >> > 0.046443295 = score(doc=0,freq=4.0 = termFreq=4.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.58436674 = fieldWeight in 0, product of: 2.0 = >> > tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.023221647 = (MATCH) weight(title:hcugt in >> > 0) [DefaultSimilarity], result of: 0.023221647 = >> > score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight >> in 0, product of: 1.0 = tf(freq=1.0), with freq of: >> 1.0 >> > = termFreq=1.0 6.2332454 = idf(docFreq=4, maxDocs=937) >> > 0.046875 = fieldNorm(doc=0) 0.08372684 = (MATCH) >> > weight(title:yh in 0) [DefaultSimilarity], result of: >> > 0.08372684 = >> > score(doc=0,freq=13.0 = termFreq=13.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 1.053482 = fieldWeight in 0, product of: 3.6055512 = >> > tf(freq=13.0), with freq of: 13.0 = termFreq=13.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) 0.046443295 = (MATCH) weight(title:cugt in 0) >> > [DefaultSimilarity], result of: 0.046443295 = >> > score(doc=0,freq=4.0 = termFreq=4.0 ), product of: >> > 0.07947628 = >> queryWeight, product of: 6.2332454 = idf(docFreq=4, >> maxDocs=937) >> > 0.012750385 = queryNorm 0.58436674 = fieldWeight in 0, >> > product of: 2.0 = tf(freq=4.0), with freq of: >> > 4.0 = termFreq=4.0 6.2332454 = idf(docFreq=4, >> > maxDocs=937) >> > 0.046875 = fieldNorm(doc=0) 0.023221647 = (MATCH) >> > weight(title:yhcugt in 0) [DefaultSimilarity], result of: >> > 0.023221647 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: >> > 0.07947628 = queryWeight, product of: 6.2332454 = >> > idf(docFreq=4, maxDocs=937) 0.012750385 = queryNorm >> > 0.29218337 = fieldWeight in 0, product of: 1.0 = >> > tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 >> > 6.2332454 = idf(docFreq=4, maxDocs=937) 0.046875 = >> > fieldNorm(doc=0) >> > 0.0019125579 = (MATCH) product of: >> 0.0038251157 = (MATCH) sum of: 0.0038251157 = (MATCH) sum of: >> 0.0038251157 = >> > (MATCH) MatchAllDocsQuery, product of: 0.0038251157 = >> > queryNorm 0.5 = coord(1/2) 0.0 = (MATCH) >> > FunctionQuery(div(int(clicks),max(int(displays),const(1)))), product >> > of: 0.0 = div(int(clicks)=0,max(int(displays)=0,const(1))) >> > 8.0 = boost 6.375193E-4 = queryNorm </str> >> > >> > >> > <str name="dms:216">0.00420471 = (MATCH) sum of: 0.0022921523 >> > = >> > (MATCH) max of: 0.0022921523 = (MATCH) product of: >> > 0.03552836 = >> > (MATCH) sum of: 0.01776418 = (MATCH) weight(plain_text:c in >> > 699) [DefaultSimilarity], result of: 0.01776418 = >> > score(doc=699,freq=10.0 = termFreq=10.0 ), product of: >> > 0.025590291 = queryWeight, product of: 4.014042 = >> > idf(docFreq=45, maxDocs=937) 0.0063751927 = queryNorm >> > 0.6941766 = fieldWeight in 699, product of: 3.1622777 >> > = tf(freq=10.0), with freq of: 10.0 = termFreq=10.0 >> > 4.014042 = idf(docFreq=45, maxDocs=937) 0.0546875 = >> > fieldNorm(doc=699) 0.01776418 = (MATCH) weight(plain_text:c >> > in >> > 699) [DefaultSimilarity], result of: >> 0.01776418 = score(doc=699,freq=10.0 = termFreq=10.0 ), product of: >> > 0.025590291 = queryWeight, product of: 4.014042 = >> > idf(docFreq=45, maxDocs=937) 0.0063751927 = queryNorm >> > 0.6941766 = fieldWeight in 699, product of: 3.1622777 >> > = tf(freq=10.0), with freq of: 10.0 = termFreq=10.0 >> > 4.014042 = idf(docFreq=45, maxDocs=937) 0.0546875 = >> > fieldNorm(doc=699) 0.06451613 = coord(2/31) 0.0019125579 = >> > (MATCH) product of: 0.0038251157 = (MATCH) sum of: >> > 0.0038251157 = >> > (MATCH) sum of: 0.0038251157 = (MATCH) MatchAllDocsQuery, >> > product >> > of: 0.0038251157 = queryNorm 0.5 = coord(1/2) 0.0 = >> > (MATCH) FunctionQuery(div(int(clicks),max(int(displays),const(1)))), >> > product of: 0.0 = >> > div(int(clicks)=0,max(int(displays)=152,const(1))) >> > 8.0 = boost 6.375193E-4 = >> queryNorm > >
