sandy4321/wonderful-rl4rec

Wonderful-RL4Rec

A list of resources about RL4RS in Kuaishou Technology.

Long Paper

Cai, Qingpeng, et al. "Two-Stage Constrained Actor-Critic for Short Video Recommendation."
Proceedings of the ACM Web Conference 2023(WWW 2023). [code]
Keywords: multi-objective, main and auxiliary objectives, actor-critic

Liu, Shuchang, et al. "Exploration and Regularization of the Latent Action Space in Recommendation."
Proceedings of the ACM Web Conference 2023(WWW 2023). [code]
Keywords: latent action space, sequential recommendation, hyper-actor critic

Liu, Ziru, et al. "Multi-Task Recommendations with Reinforcement Learning."
Proceedings of the ACM Web Conference 2023(WWW 2023). [code]
Keywords: multi-task learning, xtr prediction

Xue, Wanqi, et al. "ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor."
International Conference on Learning Representations(ICLR), 2023. [code]
Keywords: offline RL, sequential recommendation

Liu, Shuchang, et al. "Generative Flow Network for Listwise Recommendation."
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2023). [code]
Keywords: generative model, list-wise recommendation

Xue, Wanqi, et al. "PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement."
SIGKDD Conference on Knowledge Discovery and Data Mining(KDD 2023). [code]
Keywords: rlhf, preference modeling, sequential recommendation

Gao, Chongming, et al. "Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation."
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 2023 [code]
Keywords: offline RL, Matthew effect

Zhao, Kesen, et al. "KuaiSim: A Comprehensive Simulator for Recommender Systems"
NeurIPS 2023 Datasets and Benchmarks track. [code]
Keywords: online simulator, list-wise recommendation, sequential recommendation, retention optimization

Short Paper

Cai, Qingpeng, et al. "Reinforcing User Retention in a Billion Scale Short Video Recommender System."
In Companion Proceedings of the ACM Web Conference 2023(WWW '23 Companion).
Keywords: retention optimization

Contact

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Email: [email protected], [email protected], [email protected]