The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems

Petr Kasalický, Martin Spišák, Vojtěch Vančura +3

Industry-scale recommender systems face a core challenge: representing entities with high cardinality, such as users or items, using dense embeddings that must be accessible during…