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
