SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.

Autor: Gao, Jingtong, Zhao, Xiangyu, Li, Muyang, Zhao, Minghao, Wu, Runze, Guo, Ruocheng, Liu, Yiding, Yin, Dawei
Zdroj: ACM Transactions on Information Systems; May2024, Vol. 42 Issue 3, p1-23, 23p
Abstrakt: The article focuses on proposing an efficient architecture, SMLP4Rec, for sequential recommendations, addressing issues in existing self-attention models and MLP4Rec. Topics include changing the cascading structure to parallel mode, integrating normalization layers for efficiency, and improving training speed and prediction accuracy compared to MLP4Rec.
Databáze: Complementary Index