Search Results for author: Jiahuan Lei

Found 2 papers, 2 papers with code

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

1 code implementation18 May 2023 Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M Jose, Xin Xin

For the second issue, we propose introducing contrastive signals between augmented states and the state randomly sampled from other sessions to improve the state representation learning further.

Recommendation Systems reinforcement-learning +2

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment

1 code implementation9 May 2023 Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose, Maarten de Rijke, Zhaochun Ren

Recommender systems that learn from implicit feedback often use large volumes of a single type of implicit user feedback, such as clicks, to enhance the prediction of sparse target behavior such as purchases.

Denoising Open-Ended Question Answering +2

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