Scalable Recommender Systems through Recursive Evidence Chains

Elias Tragas, Calvin Luo, Maxime Gazeau +2

Recommender systems can be formulated as a matrix completion problem, predicting ratings from user and item parameter vectors. Optimizing these parameters by subsampling data becom…