Paper-Conference

Aspect-Aware Point-of-Interest Recommendation with Geo-Social Influence
Qing Guo, Zhu Sun, Jie Zhang, Qi Chen, Yin-Leng Theng
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Exploiting both Vertical and Horizontal Dimensions of Feature hierarchy for Effective Recommendation
Feature hierarchy (FH) has proven to be effective to improve recommendation accuracy. Prior work mainly focuses on the influence of …
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon
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Interactive Attention-Gated Recurrent Networks for Recommendation
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David Tax
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Learning Hierarchical Category Influence on both Users and Items for Effective Recommendation
Zhu Sun, Guibing Guo, Jie Zhang
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MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation
“Representation learning (RL) has recently proven to be effective in capturing local item relationships by modeling item …
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu
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Online Reputation Fraud Campaign Detection in User Ratings
Reputation fraud campaigns (RFCs) distort the reputations of rated items, by generating fake ratings through multiple spammers. One …
Chang Xu, Jie Zhang, Zhu Sun
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Effective Recommendation with Category Hierarchy
Zhu Sun, Guibing Guo, Jie Zhang
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Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization
Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang
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TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback
Huihuai Qiu, Jie Zhang, Guibing Guo, Zhu Sun, Haithanh Nguyen
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Exploiting Implicit Item Relationships for Recommender Systems
Zhu Sun, Guibing Guo, Jie Zhang
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