
Our Berlin Buzzwords 2024
This is our personal feedback about Berlin Buzzwords 2024. Let’s see our favourite talks of the conference from different points of view.

This is our personal feedback about Berlin Buzzwords 2024. Let’s see our favourite talks of the conference from different points of view.

This blog post is about the performances (time and memory) of our contribution to Apache Lucene to generate synonyms using Word2Vec

This is our personal feedback about Berlin Buzzwords 2023. Let’s see our favourite talks of the conference from different points of view.

This blog post aims to explore our contribution to Apache Lucene, which integrates a Word2Vec model to generate synonyms

What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?

How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?

Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application

Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application

Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations

The Rated Ranking Evaluator (RRE) is an offline search quality evaluation library for both Apache Solr and Elasticsearch.
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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