I thought I tried that, but I guess I didn't restart Solr to pick up the configuration. That did the trick.
Thanks! -----Original Message----- From: Nagelberg, Kallin [mailto:knagelb...@globeandmail.com] Sent: Thursday, February 25, 2010 1:10 PM To: 'solr-user@lucene.apache.org' Subject: RE: How to use dismax and boosting properly? Try setting the boost to 0 for the fields you don't want to contribute to the score. Kallin Nagelberg -----Original Message----- From: Jason Chaffee [mailto:jchaf...@ebates.com] Sent: Thursday, February 25, 2010 4:03 PM To: solr-user@lucene.apache.org Subject: How to use dismax and boosting properly? I am using dismax and I have configured to search 3 different fields with one field getting an extra boost so that I the results of that field are at the top of result set. Then, I sort the results by another field to get the ordering. My problem is that the scores are being skewed by the adding the scores from the different fields. What I really want is to have all matches in the boost field have an equal score and take precedence over matches from other fields. I want them to have the same score so that the sorting will sort them alphabetically. Therefore, the scores must be the same. Because the query is being found in all three fields with different number of occurrences some scores are being skewed in the boosted matches and it is putting them at the top of my results and alphabetically, they should be near the bottom. Here is an example, in case my explanation isn't clear: I have dismax with the following config: <str name="qf">Field1^3.0 Field2^0.1 Field3^0.1</str> <str name="sort">score desc, sortField asc</str> Where sortField is the original keyword token, without any processing except for lowercase. Field1 (the boosted field) a at at& at&t a ab abe abeb abebo abeboo abebook abebooks Field2 a at at& at&t a at att a at at at & at & at & t at&t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t abebooks a ab abe abeb abebo abeboo abebook abebooks Field3 a at at& at&t a at att a at at at & at & at & t at&t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t at&t att at & t abebooks a ab abe abeb abebo abeboo abebook abebooks The user types in the query 'a': Here is the debugQuery: <str name="AT&T"> 5.4186125 = (MATCH) sum of: 2.7147598 = (MATCH) max plus 0.1 times others of: 0.10907243 = (MATCH) weight(Field2:a^0.1 in 80), product of: 0.01970195 = queryWeight(Field2:a^0.1), product of: 0.1 = boost 3.1962826 = idf(docFreq=117, maxDocs=1061) 0.0616402 = queryNorm 5.5361238 = (MATCH) fieldWeight(Field2:a in 80), product of: 1.7320508 = tf(termFreq(Field2:a)=3) 3.1962826 = idf(docFreq=117, maxDocs=1061) 1.0 = fieldNorm(field=Field2, doc=80) 2.7038527 = (MATCH) weight(Field1:a^3.0 in 80), product of: 0.7071054 = queryWeight(Field1:a^3.0), product of: 3.0 = boost 3.8238325 = idf(docFreq=62, maxDocs=1061) 0.0616402 = queryNorm 3.8238325 = (MATCH) fieldWeight(Field1:a in 80), product of: 1.0 = tf(termFreq(Field1:a)=1) 3.8238325 = idf(docFreq=62, maxDocs=1061) 1.0 = fieldNorm(field= Field1, doc=80) 2.7038527 = (MATCH) weight(Field1:a^3.0 in 80), product of: 0.7071054 = queryWeight(Field1:a^3.0), product of: 3.0 = boost 3.8238325 = idf(docFreq=62, maxDocs=1061) 0.0616402 = queryNorm 3.8238325 = (MATCH) fieldWeight(Field1:a in 80), product of: 1.0 = tf(termFreq(Field1:a)=1) 3.8238325 = idf(docFreq=62, maxDocs=1061) 1.0 = fieldNorm(field= Field1, doc=80) </str> <str name="Abebooks"> 5.4140024 = (MATCH) sum of: 2.71015 = (MATCH) max plus 0.1 times others of: 0.062973 = (MATCH) weight(edgeNGramStandardField:a^0.1 in 138), product of: 0.01970195 = queryWeight(edgeNGramStandardField:a^0.1), product of: 0.1 = boost 3.1962826 = idf(docFreq=117, maxDocs=1061) 0.0616402 = queryNorm 3.1962826 = (MATCH) fieldWeight(edgeNGramStandardField:a in 138), product of: 1.0 = tf(termFreq(edgeNGramStandardField:a)=1) 3.1962826 = idf(docFreq=117, maxDocs=1061) 1.0 = fieldNorm(field=edgeNGramStandardField, doc=138) 2.7038527 = (MATCH) weight(edgeNGramKeywordField:a^3.0 in 138), product of: 0.7071054 = queryWeight(edgeNGramKeywordField:a^3.0), product of: 3.0 = boost 3.8238325 = idf(docFreq=62, maxDocs=1061) 0.0616402 = queryNorm 3.8238325 = (MATCH) fieldWeight(edgeNGramKeywordField:a in 138), product of: 1.0 = tf(termFreq(edgeNGramKeywordField:a)=1) 3.8238325 = idf(docFreq=62, maxDocs=1061) 1.0 = fieldNorm(field=edgeNGramKeywordField, doc=138) 2.7038527 = (MATCH) weight(edgeNGramKeywordField:a^3.0 in 138), product of: 0.7071054 = queryWeight(edgeNGramKeywordField:a^3.0), product of: 3.0 = boost 3.8238325 = idf(docFreq=62, maxDocs=1061) 0.0616402 = queryNorm 3.8238325 = (MATCH) fieldWeight(edgeNGramKeywordField:a in 138), product of: 1.0 = tf(termFreq(edgeNGramKeywordField:a)=1) 3.8238325 = idf(docFreq=62, maxDocs=1061) 1.0 = fieldNorm(field=edgeNGramKeywordField, doc=138) </str> As you can see the Boosted field scores are identical, so I would like those results to come above anything found in the non-boosted fields, but I do not want the non-boosted fields scores added on. Is there anything I can do to get what I want?
