Kirill Shevkunov

Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls

Kirill Shevkunov, Andrey Ploskonosov, Liudmila Prokhorenkova

In many machine learning applications, the most relevant items for a query should be efficiently retrieved. The relevance function is usually an expensive similarity model, making the exhaustive search infeasible. A typical solution is to train another model that separately embed…Read more