Simon Rauch

End-to-End User and Item Embeddings: Specializing Retrieval Representations for Ranking

Industrial recommender systems typically operate in two stages: retrieving a candidate set from a large catalog, then ranking those candidates using contextual information. The ranking stage relies on features that summarize a user’s prior interactions with the system. These features are often carefully hand-crafted, a...