RecIS: Unifying Sparse and Dense Computation for Efficient Recommendation Training

Hua Zong, Shuai Yang, Zhengxiong Zhou +14

Modern recommender models scale sparse representations and dense computation together. They process thousands of heterogeneous feature fields, long user-behavior sequences, and tri…