Your description uses the terms Solr/Lucene uses but perhaps not in the same way we do. That might explain the confusion.
It sounds - on a high level - that you want to create a field based on a combination of a couple of other fields during indexing stage. Have you tried UpdateRequestProcessors? They have access to the full document when it is sent and can do whatever they want with it. Regards, Alex. ---- Sign up for my Solr resources newsletter at http://www.solr-start.com/ On 11 January 2015 at 10:55, Ali Nazemian <alinazem...@gmail.com> wrote: > Dear Jack, > Hi, > I think you misunderstood my need. I dont want to change the default > scoring behavior of Lucene (tf-idf) I just want to have another field to do > sorting for some specific queries (not all the search business), however I > am aware of Lucene payload. > Thank you very much. > > On Sun, Jan 11, 2015 at 7:15 PM, Jack Krupansky <jack.krupan...@gmail.com> > wrote: > >> You would do that with a custom similarity (scoring) class. That's an >> expert feature. In fact a SUPER-expert feature. >> >> Start by completely familiarizing yourself with how TF*IDF similarity >> already works: >> >> http://lucene.apache.org/core/4_10_3/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html >> >> And to use your custom similarity class in Solr: >> >> https://cwiki.apache.org/confluence/display/solr/Other+Schema+Elements#OtherSchemaElements-Similarity >> >> >> -- Jack Krupansky >> >> On Sun, Jan 11, 2015 at 9:04 AM, Ali Nazemian <alinazem...@gmail.com> >> wrote: >> >> > Hi everybody, >> > >> > I am going to add some analysis to Solr at the index time. Here is what I >> > am considering in my mind: >> > Suppose I have two different fields for Solr schema, field "a" and field >> > "b". I am going to use the created reverse index in a way that some terms >> > are considered as important ones and tell lucene to calculate a value >> based >> > on these terms frequency per each document. For example let the word >> > "hello" considered as important word with the weight of "2.0". Suppose >> the >> > term frequency for this word at field "a" is 3 and at field "b" is 6 for >> > document 1. Therefor the score value would be 2*3+(2*6)^2. I want to >> > calculate this score based on these fields and put it in the index for >> > retrieving. My question would be how can I do such thing? First I did >> > consider using term component for calculating this value from outside and >> > put it back to Solr index, but it seems it is not efficient enough. >> > >> > Thank you very much. >> > Best regards. >> > >> > -- >> > A.Nazemian >> > >> > > > > -- > A.Nazemian
