
Categorical Features in Apache Solr Learning to Rank
In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.

In this blog post we present the available learning to rank Apache Solr features with a focus on categorical features and how to manage them.

DeepImpact is a new document term-weighting scheme suitable for efficient sparse retrieval using a standard inverted index.

This blog post explores the internals of Apache Solr queryResultCache and filterCache through practical code examples.

We are so happy to announce the twelfth London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore

Let’s attenuate vocabulary mismatch by leveraging document expansion using two modern transformer-based approaches.

Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.

We are so happy to announce the eleventh London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore and

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 step by step a Learning to Rank project on a Daily Song Ranking problem using open source libraries.

Programme of the seventh London Information Retrieval Meetup. Save the date: 10 December 2020 at 6 PM. It is free and online!
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
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