Learning about text ranking using Deep Learning with BERT transformer. From training to neural re-ranking, with code snippets and examples.
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
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
Tips and tricks to find out efficient and fast ways to read and parse a big JSON file in Python using real-world application
Join the tenth London Information Retrieval Meetup in September, this time in hybrid version both in-presence and online.
How does Artificial Intelligence impact Search? This post explores the state of the art of AI applied to Information Retrieval in Open Source.
Does removing constant features affect model performance? Find out with our real-world Learning to Rank application
Welcome to the ninth London Information Retrieval Meetup, scheduled on 29th June 2021. The event will be fully remote.
Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations
This blog post explores the Apache Solr multi-field search limitations with a focus on the sow(split on whitespace) parameter.
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.
