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
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Sent from: http://lucene.472066.n3.nabble.com/Solr-User-f472068.html
