How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
This blog post is about several analysis on a LTR model and its explanation using the open source library SHAP
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
Secrets of Interleaving approaches for Learning To Rank online testing/evaluation. It includes implementation details and pro/cons analysis.
It is fundamental to online test your Learning To Rank system, this blog shows you how it can be implemented and the most common mistakes.
This blog is a quick summary of our experience at the ECIR 2018, the European Conference on Information Retrieval.
The focus here will be on the Apache Solr side configuration and usage with all the related tips and tricks.
This blog post is about the Apache Solr Learning to Rank Tools : a set of utilities for the Solr LTR integration.
Part 2 is about the model training for the Learning To Rank integration. We modelled our dataset, collected the data and refined it in Part1.
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