Solr Keywords Ranking Erkennungsproblem

Ich bin gebrauchte Solr 6.1, und ich suche "c0020673" drei Ergebnisse,Solr Keywords Ranking Erkennungsproblem

Die ID: "id-62" andere Ergebnisse Daten einschließlich

Ich denke also, die Ergebnisse werden "ID-62"> "ID-01"> "ID-87"

Aber es ist nicht, kann mich jeder fragen, warum die "ID-62" -Punktzahl wird klein sein? und wie man das repariert?

Diese drei ergeben in drei verschiedenen Sammlungen.

"id-01": "\n1692.4559 = sum of:\n 1692.4559 = max of:\n  
1692.4559 = weight(master_key:\"c0020673\" in 18404) [], result of:\n  
1692.4559 = score(doc=18404,freq=1.0 = phraseFreq=1.0\n), product of:\n   
130.0 = boost\n   
13.648735 = idf(), sum of:\n   
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n   
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n   
8.4502326E-4 = idf(docFreq=305779, docCount=306037)\n   
1.9327133 = idf(docFreq=44300, docCount=306037)\n   
11.715174 = idf(docFreq=2, docCount=306037)\n   
0.95385337 = tfNorm, computed from:\n   
1.0 = phraseFreq=1.0\n   
1.2 = parameter k1\n   
0.75 = parameter b\n   
4.671981 = avgFieldLength\n   
5.2244897 = fieldLength\n  
76.86601 = weight(text_to_cjk:\"c0020673\" in 18404) [], result of:\n  
76.86601 = score(doc=18404,freq=2.0 = phraseFreq=2.0\n), product of:\n   
5.0 = boost\n   
11.1805105 = idf(), sum of:\n   
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n   
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n   
8.4502326E-4 = idf(docFreq=305779, docCount=306037)\n   
1.5686225 = idf(docFreq=63757, docCount=306037)\n   
9.61104 = idf(docFreq=20, docCount=306037)\n   
1.375 = tfNorm, computed from:\n   
2.0 = phraseFreq=2.0\n   
1.2 = parameter k1\n   
0.0 = parameter b (norms omitted for field)\n  
77.91596 = weight(text_to_jp:\"1 gdw cust as c 0020673\" in 18404) [], result of:\n  
77.91596 = score(doc=18404,freq=2.0 = phraseFreq=2.0\n), product of:\n   
5.0 = boost\n   
11.333231 = idf(), sum of:\n   
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n   
1.6337854E-6 = idf(docFreq=306037, docCount=306037)\n   
8.4502326E-4 = idf(docFreq=305779, docCount=306037)\n   
1.5158352 = idf(docFreq=67213, docCount=306037)\n   
0.342083 = idf(docFreq=217375, docCount=306037)\n   
9.474464 = idf(docFreq=23, docCount=306037)\n   
1.375 = tfNorm, computed from:\n   
2.0 = phraseFreq=2.0\n   
1.2 = parameter k1\n   
0.0 = parameter b (norms omitted for field)\n  
782.6664 = weight(content:\"c0020673\" in 18404) [], result of:\n  
782.6664 = score(doc=18404,freq=1.0 = phraseFreq=1.0\n), product of:\n   
70.0 = boost\n   
11.180948 = idf(), sum of:\n   
1.1436554E-5 = idf(docFreq=306034, docCount=306037)\n   
1.1436554E-5 = idf(docFreq=306034, docCount=306037)\n   
8.5483433E-4 = idf(docFreq=305776, docCount=306037)\n   
1.5690303 = idf(docFreq=63731, docCount=306037)\n   
9.61104 = idf(docFreq=20, docCount=306037)\n   
1.0 = tfNorm, computed from:\n   
1.0 = phraseFreq=1.0\n   
1.2 = parameter k1\n   
0.0 = parameter b (norms omitted for field)\n", 

"id-87": "\n1705.65 = sum of:\n 
1705.65 = max of:\n  
1705.65 = weight(master_key:\"c0020673\" in 0) [], result of:\n  
1705.65 = score(doc=0,freq=1.0 = phraseFreq=1.0\n), product of:\n   
130.0 = boost\n   
14.5187435 = idf(), sum of:\n   
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n   
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n   
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n   
5.4025307 = idf(docFreq=61, docCount=13650)\n   
9.116103 = idf(docFreq=1, docCount=13650)\n  
0.903686 = tfNorm, computed from:\n   
1.0 = phraseFreq=1.0\n   
1.2 = parameter k1\n   
0.75 = parameter b\n   
4.1446886 = avgFieldLength\n 
5.2244897 = fieldLength\n 
90.3841 = weight(text_to_cjk:\"c0020673\" in 0) [], result of:\n 
90.3841 = score(doc=0,freq=2.0 = phraseFreq=2.0\n), product of:\n  
5.0 = boost\n 
13.146779 = idf(), sum of:\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
4.030566 = idf(docFreq=242, docCount=13650)\n  
9.116103 = idf(docFreq=1, docCount=13650)\n  
1.375 = tfNorm, computed from:\n  
2.0 = phraseFreq=2.0\n 
1.2 = parameter k1\n   
0.0 = parameter b (norms omitted for field)\n 
89.17496 = weight(text_to_jp:\"1 gdw cust as c 0020673\" in 0) [], result of:\n 
89.17496 = score(doc=0,freq=2.0 = phraseFreq=2.0\n), product of:\n 
5.0 = boost\n 
12.970903 = idf(), sum of:\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n 
3.8161204 = idf(docFreq=300, docCount=13650)\n  
0.038570423 = idf(docFreq=13134, docCount=13650)\n 
9.116103 = idf(docFreq=1, docCount=13650)\n 
1.375 = tfNorm, computed from:\n  
2.0 = phraseFreq=2.0\n  
1.2 = parameter k1\n  
0.0 = parameter b (norms omitted for field)\n  
920.27454 = weight(content:\"c0020673\" in 0) [], result of:\n  
920.27454 = score(doc=0,freq=1.0 = phraseFreq=1.0\n), product of:\n  
70.0 = boost\n  
13.146779 = idf(), sum of:\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n   
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
3.6628026E-5 = idf(docFreq=13650, docCount=13650)\n  
4.030566 = idf(docFreq=242, docCount=13650)\n  
9.116103 = idf(docFreq=1, docCount=13650)\n  
1.0 = tfNorm, computed from:\n   
1.0 = phraseFreq=1.0\n   
1.2 = parameter k1\n  
0.0 = parameter b (norms omitted for field)\n", 

"id-62": "\n1361.2384 = sum of:\n 
1361.2384 = max of:\n  
1361.2384 = weight(master_key:\"c0020673\" in 0) [], result of:\n  
1361.2384 = score(doc=0,freq=1.0 = phraseFreq=1.0\n), product of:\n   
130.0 = boost\n   
10.671043 = idf(), sum of:\n   
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n   
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n  
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n  
3.4783592 = idf(docFreq=61, docCount=1992)\n  
7.1919312 = idf(docFreq=1, docCount=1992)\n  
0.9812597 = tfNorm, computed from:\n   
1.0 = phraseFreq=1.0\n   
1.2 = parameter k1\n   
0.75 = parameter b\n   
4.991466 = avgFieldLength\n 
5.2244897 = fieldLength\n 
70.97167 = weight(text_to_cjk:\"c0020673\" in 0) [], result of:\n 
70.97167 = score(doc=0,freq=3.0 = phraseFreq=3.0\n), product of:\n 
5.0 = boost\n 
9.032757 = idf(), sum of:\n  
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n 
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n 
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n 
1.8400731 = idf(docFreq=316, docCount=1992)\n  
7.1919312 = idf(docFreq=1, docCount=1992)\n  
1.5714288 = tfNorm, computed from:\n   
3.0 = phraseFreq=3.0\n  
1.2 = parameter k1\n  
0.0 = parameter b (norms omitted for field)\n 
70.1351 = weight(text_to_jp:\"1 gdw cust as c 0020673\" in 0) [], result of:\n  
70.1351 = score(doc=0,freq=3.0 = phraseFreq=3.0\n), product of:\n  
5.0 = boost\n  
8.926285 = idf(), sum of:\n 
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n 
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n 
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n 
1.7323457 = idf(docFreq=352, docCount=1992)\n  
0.0012551778 = idf(docFreq=1990, docCount=1992)\n 
7.1919312 = idf(docFreq=1, docCount=1992)\n  
1.5714288 = tfNorm, computed from:\n   
3.0 = phraseFreq=3.0\n  
1.2 = parameter k1\n   
0.0 = parameter b (norms omitted for field)\n 
869.40283 = weight(content:\"c0020673\" in 0) [], result of:\n 
869.40283 = score(doc=0,freq=2.0 = phraseFreq=2.0\n), product of:\n 
70.0 = boost\n  
9.032757 = idf(), sum of:\n  
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n  
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n  
2.5090954E-4 = idf(docFreq=1992, docCount=1992)\n  
1.8400731 = idf(docFreq=316, docCount=1992)\n  
7.1919312 = idf(docFreq=1, docCount=1992)\n   
1.375 = tfNorm, computed from:\n  
2.0 = phraseFreq=2.0\n   
1.2 = parameter k1\n   
0.0 = parameter b (norms omitted for field)\n"

Quelle

2017-12-05 ZivHus

Welche Abfrage haben Sie? Könntest du es in Solr-Syntax posten? – Mysterion

Vom debug ich Sie sehen, eine qf wie konfiguriert haben muss:

master_key^130,0 text_to_cjk^5,0 text_to_jp^5,0 Inhalt^70,0

Vielleicht haben Sie einige zusätzliche Satz steigern und Sie sind Verwenden des dimax/edismax-Anforderungshandlers. Sie verwenden auch einen Tieferbrecher [1] mit dem Wert "0.0" - der Standardwert -, der die Abfrage zu einer reinen "disjunction max query" macht: Das heißt, nur die maximale Punktzahl-Unterabfrage trägt zum Endergebnis bei. So werden alle 3 Punkte von der master_key Übereinstimmung dominiert.

Die 3 Ergebnisse zeigen einen Unterschied in den avgFieldLength- und IDF-Werten. Dies deutet darauf hin, dass Sie sich in einem SolrCloud-Szenario befinden könnten, in dem Sie nicht Distributed IDF [2] verwenden.

Bin ich richtig? Warum sollten Sie diese Bestellung erwarten?

"id-62"> "id-01"> "id-87"

Wenn der Grund die Spiele im Content-Bereich ist, müssen Sie einen anderen Wert für die Tie-Break-Parameter verwenden. Nehmen Sie eine Lese auf das Wiki, aber um es einfach zu machen, ein Wert von "1.0" macht die Abfrage eine reine "Disjunktion Summe Abfrage", wo es egal ist, was die maximale Scoring-Unterabfrage ist, weil das Endergebnis sein wird die Summe der Unterabfragewerte.

[1] https://lucene.apache.org/solr/guide/6_6/the-dismax-query-parser.html#TheDisMaxQueryParser-Thetie_TieBreaker_Parameter

Quelle

2017-12-06 12:01:05

Ich fand das Problem, ist, weil der Titel zu viel Rang, aber ich habe ein anderes Problem zu helfen ist für Solr Sicherheit hier https://stackoverflow.com/questions/47861892/how-to-setting-the-read-only -role-in-solr-6-6-2-of-basicauthplugin – ZivHus

War die Antwort detailliert genug? –

Solr Keywords Ranking Erkennungsproblem

Antwort

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