Search Results for author: Luo Ji

Found 5 papers, 3 papers with code

Intra-session Context-aware Feed Recommendation in Live Systems

no code implementations30 Sep 2022 Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang

Feed recommendation allows users to constantly browse items until feel uninterested and leave the session, which differs from traditional recommendation scenarios.

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

1 code implementation11 Nov 2021 Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

However, edge computing, especially edge and cloud collaborative computing, are still in its infancy to announce their success due to the resource-constrained IoT scenarios with very limited algorithms deployed.

Cloud Computing Edge-computing

Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation

no code implementations20 Aug 2021 Luo Ji, Qin Qi, Bingqing Han, Hongxia Yang

In RL-LTV, the critic studies historical trajectories of items and predict the future LTV of fresh item, while the actor suggests a score-based policy which maximizes the future LTV expectation.

Recommendation Systems reinforcement-learning +1

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