83 citations · 153 across the 12 of their papers we have counts for
4 papers · 1 filter
Time Lag Aware Sequential Recommendation
Lihua Chen, Ning Yang, Philip S Yu
Although a variety of methods have been proposed for sequential recommendation, it is still far from being well solved partly due to two challenges. First, the existing methods oft…
Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions
Ning Yang, Chao Tang, Yuhai Tu
Generalization is one of the most important problems in deep learning (DL). In the overparameterized regime in neural networks, there exist many low-loss solutions that fit the tra…
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning
Xiaoyun Zhao, Ning Yang, Philip S. Yu
Cross-domain recommendation (CDR) has been attracting increasing attention of researchers for its ability to alleviate the data sparsity problem in recommender systems. However, th…
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning
Ziwen Du, Ning Yang, Zhonghua Yu +1
Traditional robust recommendation methods view atypical user-item interactions as noise and aim to reduce their impact with some kind of noise filtering technique, which often suff…