Learning Disentangled User Representation Based on Controllable VAE for Recommendation

Yunyi Li; Pengpeng Zhao; Deqing Wang; Xuefeng Xian; Yanchi Liu; Victor S. Sheng

doi:10.1007/978-3-030-73200-4_12

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Learning Disentangled User Representation Based on Controllable VAE for Recommendation

Yunyi Li Pengpeng Zhao Deqing Wang Xuefeng Xian Yanchi Liu Victor S. Sheng

Year: 2021 Lecture notes in computer science Pages: 179-194 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-73200-4_12

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Keywords:

Computer science Collaborative filtering Interpretability Recommender system Autoencoder Machine learning Artificial intelligence Representation (politics) Robustness (evolution) Data mining Deep learning

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Bandit Algorithms Research

Social Sciences → Decision Sciences → Management Science and Operations Research

Machine Learning in Healthcare

Physical Sciences → Computer Science → Artificial Intelligence

Learning Disentangled User Representation Based on Controllable VAE for Recommendation

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Citation History

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