354 citations · 2.1k across the 86 of their papers we have counts for
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cs.LG2016
Online Bayesian Collaborative Topic Regression
Chenghao Liu, Tao Jin, Steven C. H. Hoi +2
Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix factorization (PMF) and topic modeling (e.g., LDA) for recommender systems, which has gained increasing…
cs.IR2016★ 9 cited
Learning Optimal Social Dependency for Recommendation
Yong Liu, Peilin Zhao, Xin Liu +2
Social recommender systems exploit users' social relationships to improve the recommendation accuracy. Intuitively, a user tends to trust different subsets of her social friends, r…
cs.LG2016★ 4 cited
Adaptive Subgradient Methods for Online AUC Maximization
Yi Ding, Peilin Zhao, Steven C. H. Hoi +1
Learning for maximizing AUC performance is an important research problem in Machine Learning and Artificial Intelligence. Unlike traditional batch learning methods for maximizing A…