126 citations · 127 across the 4 of their papers we have counts for
4 papers
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation
Xiao Lin, Xiaokai Chen, Linfeng Song +3
An accurate prediction of watch time has been of vital importance to enhance user engagement in video recommender systems. To achieve this, there are four properties that a watch t…
Practice of the conformer enhanced AUDIO-VISUAL HUBERT on Mandarin and English
Xiaoming Ren, Chao Li, Shenjian Wang +1
Considering the bimodal nature of human speech perception, lips, and teeth movement has a pivotal role in automatic speech recognition. Benefiting from the correlated and noise-inv…
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…
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…