Originally published in Spotify Research, Feb 22, 2023. A new approach to calibrating recommendations to user interests Users’ interests are multi-faceted and representing different aspects of users’ interest in their recommendations is an important factor for recommender systems to help users navigate more quickly to items or content they may be interested in. This property
Originally published in Google AI Blog, Feb 15, 2022. Machine learning (ML) has become prominent in information technology, which has led some to raise concerns about the associated rise in the costs of computation, primarily the carbon footprint,...
