Drop constant features: a real-world Learning To Rank scenario
Does removing constant features affect model performance? Find out with our real-world Learning to Rank application
Ilaria Petreti
June 16, 2021
A Learning to Rank Project on a Daily Song Ranking Problem – Part 4
Query-level features and under-sampled queries, how to handle them? Find it out, with our new Learning to Rank implementations
Ilaria Petreti
May 31, 2021
A Learning to Rank Project on a Daily Song Ranking Problem – Part 3
This blog post aims to illustrate how to generate the query Id and how to manage the creation of the Training Set
Ilaria Petreti
March 25, 2021
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.
