clMF: A Fine-Grained and Portable Alternating Least Squares Algorithm for Parallel Matrix Factorization
Published in FGCS, 2018
Recommended citation: Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang. "clMF: A Fine-Grained and Portable Alternating Least Squares Algorithm for Parallel Matrix Factorization." FGCS. 2018. http://jianbinfang.github.io/files/2018-04-24-clmf.pdf
This paper presents an efficient and portable ALS solver for sparse matrix factorization in recommender systems.
Recommended citation: Jing Chen, Jianbin Fang, Weifeng Liu, Tao Tang, Canqun Yang. (2018). “clMF: A Fine-Grained and Portable Alternating Least Squares Algorithm for Parallel Matrix Factorization.” FGCS. 2018.