Rethinking Collaborative Filtering
Noam Koenigstein · 2017
A decade has passed since the seminal Netflix Prize competition and Collaborative Filtering (CF) models are still at the forefront of Recommender System research. Significant progress has been achieved over this time, yet key aspects of the basic problem formulation have not been seriously challenged. Most state-of-the-art models still assume a supervised model in which the ultimate goal is to predict future user-item interactions based on the generalization of historical data.