Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders

Author:

Chen Zhihong1,Wu Jiawei1,Li Chenliang2,Chen Jingxu1,Xiao Rong1,Zhao Binqiang1

Affiliation:

1. Alibaba Group, Hangzhou, China

2. Wuhan University, Wuhan, China

Publisher

ACM

Reference44 articles.

1. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference . Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference .

2. Local Popularity and Time in top-N Recommendation

3. Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising;Bottou Léon;Journal of Machine Learning Research,2013

4. Konstantinos Bousmalis , George Trigeorgis , Nathan Silberman , Dilip Krishnan , and Dumitru Erhan . 2016. Domain separation networks. Advances in neural information processing systems , Vol. 29 ( 2016 ), 343--351. Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, and Dumitru Erhan. 2016. Domain separation networks. Advances in neural information processing systems , Vol. 29 (2016), 343--351.

5. Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

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