TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation

no code implementations • 15 Jun 2024 • Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li

There is a growing interest in utilizing large-scale language models (LLMs) to advance next-generation Recommender Systems (RecSys), driven by their outstanding language understanding and in-context learning capabilities.

Collaborative Filtering In-Context Learning +2

Recommender Systems in the Era of Large Language Models (LLMs)

no code implementations • 5 Jul 2023 • Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li

As a result, recent studies have attempted to harness the power of LLMs to enhance recommender systems.

Recommendation Systems

Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach

no code implementations • 3 Oct 2022 • Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic

Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost deployment of control systems in the Industry 4. 0 era.

Deep Reinforcement Learning Scheduling