126 citations · 127 across the 4 of their papers we have counts for
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cs.IR2023★ 1 cited
Disentangled Causal Embedding With Contrastive Learning For Recommender System
Weiqi Zhao, Dian Tang, Xin Chen +5
Recommender systems usually rely on observed user interaction data to build personalized recommendation models, assuming that the observed data reflect user interest. However, user…
cs.IR2022★ 126 cited
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
Chongming Gao, Shijun Li, Yuan Zhang +5
Recommender systems deployed in real-world applications can have inherent exposure bias, which leads to the biased logged data plaguing the researchers. A fundamental way to addres…