211 citations · 527 across the 28 of their papers we have counts for
9 papers · 1 filter
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
Lin Gong, Lu Lin, Weihao Song +1
User representation learning is vital to capture diverse user preferences, while it is also challenging as user intents are latent and scattered among complex and different modalit…
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Xueying Bai, Jian Guan, Hongning Wang
Reinforcement learning is well suited for optimizing policies of recommender systems. Current solutions mostly focus on model-free approaches, which require frequent interactions w…
Active Collaborative Sensing for Energy Breakdown
Yiling Jia, Nipun Batra, Hongning Wang +1
Residential homes constitute roughly one-fourth of the total energy usage worldwide. Providing appliance-level energy breakdown has been shown to induce positive behavioral changes…
BPMR: Bayesian Probabilistic Multivariate Ranking
Nan Wang, Hongning Wang
Multi-aspect user preferences are attracting wider attention in recommender systems, as they enable more detailed understanding of users' evaluations of items. Previous studies sho…
Adversarial Domain Adaptation for Machine Reading Comprehension
Huazheng Wang, Zhe Gan, Xiaodong Liu +3
In this paper, we focus on unsupervised domain adaptation for Machine Reading Comprehension (MRC), where the source domain has a large amount of labeled data, while only unlabeled…
Factorization Bandits for Online Influence Maximization
Qingyun Wu, Zhige Li, Huazheng Wang +2
We study the problem of online influence maximization in social networks. In this problem, a learner aims to identify the set of "best influencers" in a network by interacting with…