Jinoh Oh

Fast and Robust Parallel SGD Matrix Factorization

2015

Matrix factorization is one of the fundamental techniques for analyzing latent relationship between two entities. Especially, it is used for recommendation for its high accuracy. Efficient parallel SGD matrix factorization algorithms have been developed for …

Convolutional Matrix Factorization for Document Context-Aware Recommendation

2016

Sparseness of user-to-item rating data is one of the major factors that deteriorate the quality of recommender system. To handle the sparsity problem, several recommendation techniques have been proposed that additionally consider auxiliary information to …