Meta-optimized Contrastive Learning for Sequential Recommendation
Published in SIGIR 2023 (Oral), 2023
MCLRec innovates contrastive learning for sequential recommendation with data and learnable model augmentations guided by meta-learning. SIGIR 2023 Oral.
Recommended citation: Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, and Victor S. Sheng. 2023. Meta-optimized Contrastive Learning for Sequential Recommendation. In SIGIR. 89–98. https://arxiv.org/abs/2304.07763
