How does Artificial Intelligence impact Search? This post explores the state of the art of AI applied to Information Retrieval in Open Source.
This blog post aims to illustrate how to generate the query Id and how to manage the creation of the Training Set
This blog post aims to illustrate step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.
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.
We’ll introduce you to Learning To Rank In Apache Solr. Start with us the exciting journey to bring LTR to production for your search engine.
This blog post is about the Solr classification module and the way Lucene classification has been integrated at indexing time in Apache Solr.
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