CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation

no code implementations • 17 Aug 2022 • Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu

Micro-video recommender systems suffer from the ubiquitous noises in users' behaviors, which might render the learned user representation indiscriminating, and lead to trivial recommendations (e. g., popular items) or even weird ones that are far beyond users' interests.

Contrastive Learning Recommendation Systems

Modeling High-order Interactions across Multi-interests for Micro-video Recommendation

no code implementations • 1 Apr 2021 • Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

Personalized recommendation system has become pervasive in various video platform.

Vocal Bursts Intensity Prediction