Search Results for author: Kesen Zhao

Found 2 papers, 2 papers with code

KuaiSim: A Comprehensive Simulator for Recommender Systems

1 code implementation NeurIPS 2023 Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

For each task, KuaiSim also provides evaluation protocols and baseline recommendation algorithms that further serve as benchmarks for future research.

Reinforcement Learning (RL) Sequential Recommendation

User Retention-oriented Recommendation with Decision Transformer

1 code implementation11 Mar 2023 Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin

However, deploying the DT in recommendation is a non-trivial problem because of the following challenges: (1) deficiency in modeling the numerical reward value; (2) data discrepancy between the policy learning and recommendation generation; (3) unreliable offline performance evaluation.

Contrastive Learning counterfactual +1

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