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From Alessandro Benedetti <a.benede...@sease.io>
Subject Re: Regarding LTR feature
Date Thu, 03 May 2018 14:00:00 GMT
Mmmm, first of all, you know that each Solr feature is calculated per
document right ?
So you want to calculate the payload score for the document you are
re-ranking, based on the query ( your External Feature Information) and
normalize across the different documents?

I would go with this feature and use the normalization LTR functionality :

{ 
  "store" : "my_feature_store", 
  "name" : "in_aggregated_terms", 
  "class" : "org.apache.solr.ltr.feature.SolrFeature", 
  "params" : { "q" : "{!payload_score 
f=aggregated_terms func=max v=${query}}" } 
} 

Then in the model you specify something like :

"name" : "myModelName",
   "features" : [
       {
         "name" : "isBook"
       },
...
       {
         "name" : "in_aggregated_terms",
         "norm": {
             "class" : "org.apache.solr.ltr.norm.MinMaxNormalizer",
             "params" : { "min":"x", "max":"y" }
         }
       },
       }

Give it a try, let me know




-----
---------------
Alessandro Benedetti
Search Consultant, R&D Software Engineer, Director
Sease Ltd. - www.sease.io
--
Sent from: http://lucene.472066.n3.nabble.com/Solr-User-f472068.html

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