Hi Ginsul, let's try to wrap it up : 1) you have an item win N binary features ( given the fact that you represent the document with a list of feature Ids ( and no values) I would assume that it means that when the feature is in the list, it has a value of 1 for the item
2) you want to score (or maybe re-rank ? ) your documents giving the score you defined You could solve this problem with a number of possible customizations. Starting from an easy one, you could try to use the LTR re-ranker[1] . Specifically you can define your set of feature( and that should be possible using the component out of the box) and then a linear model ( and you already have the weights for the features so you don't need to train it). This can be close to what you want but you may want to customize a bit ( given the fact that you may want to average the weight). For example you could define an extension of the linear model that does the average of the score ect ect... [1] https://lucene.apache.org/solr/guide/6_6/learning-to-rank.html ----- --------------- 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
