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Social Recommendation With Learning Personal and Social Latent Factors

  • Published:2021-07-01 Issue:7 Volume:33 Page:2956-2970
  • ISSN:1041-4347
  • Container-title:IEEE Transactions on Knowledge and Data Engineering
  • language:
  • Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Liu HuafengORCID,Jing LipingORCID,Yu Jian,Ng Michael K.ORCID

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Hong Kong Research Grants Council, General Research Fund

University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Context enhanced multi-level attention model for session-based recommendation;SCIENTIA SINICA Informationis;2024-09-01

2. Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes;IEEE Transactions on Knowledge and Data Engineering;2024-07

3. EMARec: a sequential recommendation with exponential moving average;Neural Computing and Applications;2024-04-23

4. Context-aware graph embedding with gate and attention for session-based recommendation;Neurocomputing;2024-03

5. DGCR: depth graph convolution recommendation algorithm integrating social and residual;International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023);2024-02-28
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