Thanks for the reply Alessandro. I'm starting to agree with you but I wanted to see if others agree. It seems to me that the original score feature is not useful because it is not normalized across all queries and therefore cannot be used to compare relevance in different queries.
-----Original Message----- From: alessandro.benedetti [mailto:a.benede...@sease.io] Sent: Wednesday, January 24, 2018 10:22 AM To: solr-user@lucene.apache.org Subject: Re: LTR original score feature 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
