Search-Based Serving Architecture of Embeddings-Based Recommendations

no code implementations • 7 Jul 2019 • Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel

Over the past 10 years, many recommendation techniques have been based on embedding users and items in latent vector spaces, where the inner product of a (user, item) pair of vectors represents the predicted affinity of the user to the item.

Recommendation Systems