Scalable Recommender Systemsthrough Recursive Evidence Chains

no code implementations • 20 Oct 2018 • Elias Tragas, Calvin Luo, Maxime Yvez, Kevin Luk, David Duvenaud

A popular matrix completion algorithm is matrix factorization, where ratings are predicted from combining learned user and item parameter vectors.

Matrix Completion Recommendation Systems

Scalable Recommender Systems through Recursive Evidence Chains

no code implementations • 5 Jul 2018 • Elias Tragas, Calvin Luo, Maxime Gazeau, Kevin Luk, David Duvenaud

Recommender systems can be formulated as a matrix completion problem, predicting ratings from user and item parameter vectors.

Matrix Completion Recommendation Systems