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From Alessandro Benedetti <a.benede...@sease.io>
Subject Re: Computing record score depending on its association with other records
Date Tue, 30 Jan 2018 14:30:56 GMT
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




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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

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