How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Let’s attenuate vocabulary mismatch leveraging document expansion using two modern transformer-based approaches.
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.
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.
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