This is actually an interesting point. The original Solr score alone will mean nothing, the ranking position of the document would be a more relevant feature at that stage.
When you put the original score together with the rest of features, it may be of potential usage ( number of query terms, tf for a specific field, idf for another field ...). Also because some training algorithms will group the training samples by query. personally I start to believe it would be better to decompose the original score into finer grain features and then rely on LTR to weight them ( as the original score is effectively already mixing up finer grain features following a standard formula). ----- --------------- 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
