Integrating Large Language Models with Graphical Session-Based Recommendation

no code implementations • 26 Feb 2024 • Naicheng Guo, Hongwei Cheng, Qianqiao Liang, Linxun Chen, Bing Han

SBR has been primarily dominated by Graph Neural Networks, which have achieved many successful outcomes due to their ability to capture both the implicit and explicit relationships between adjacent behaviors.

Natural Language Understanding Session-Based Recommendations +2

Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach

no code implementations • 8 Nov 2023 • Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo

Cross-domain sequential recommendation (CDSR) aims to address the data sparsity problems that exist in traditional sequential recommendation (SR) systems.

Denoising Sequential Recommendation

Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling

no code implementations • 13 Nov 2019 • Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang

Also, by constructing multiple strategic arms, we can obtain the optimal investment portfolio to adapt different investment periods.

Decision Making Management +1