Publications

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Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

Published in WSDM 2024 (Oral), 2024

ICSRec models users’ latent intentions via cross-subsequence contrastive learning for sequential recommendation. WSDM 2024 Oral.

Recommended citation: Qin, Xiuyuan, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, and Victor S. Sheng. "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation." WSDM 2024. https://arxiv.org/abs/2310.14318

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