no code implementations • 21 Feb 2024 • Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
In summary, LLM-KERec addresses the limitations of traditional recommendation systems by incorporating complementary knowledge and utilizing a large language model to capture user intent transitions, adapt to new items, and enhance recommendation efficiency in the evolving e-commerce landscape.
no code implementations • NeurIPS 2018 • Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
Based on the defined metric, we theoretically prove that pSCOPE is convergent with a linear convergence rate if the data partition is good enough.
no code implementations • 15 Mar 2018 • Shen-Yi Zhao, Gong-Duo Zhang, Ming-Wei Li, Wu-Jun Li
Based on the defined metric, we theoretically prove that pSCOPE is convergent with a linear convergence rate if the data partition is good enough.
no code implementations • 10 Feb 2018 • Gong-Duo Zhang, Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Linear classification has been widely used in many high-dimensional applications like text classification.
no code implementations • 11 Dec 2016 • Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li
and AsySVRG, for non-convex problems.