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A Bayesian matrix factorization model for dynamic user embedding in recommender system

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. U21A20473, 61906111, and 72171137), the Projects of Key Research and Development Plan of Shanxi Province (201903D121162), and the 1331 Engineering Project of Shanxi Province.

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Authors and Affiliations

  1. School of Computer and Information Technology, Shanxi University, Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Taiyuan, 030006, China

    Kaihan Zhang, Zhiqiang Wang, Jiye Liang & Xingwang Zhao

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  1. Kaihan Zhang
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  2. Zhiqiang Wang
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  3. Jiye Liang
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  4. Xingwang Zhao
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Correspondence to Zhiqiang Wang.

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Zhang, K., Wang, Z., Liang, J. et al. A Bayesian matrix factorization model for dynamic user embedding in recommender system. Front. Comput. Sci. 16, 165346 (2022). https://doi.org/10.1007/s11704-022-1213-7

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  • DOI: https://doi.org/10.1007/s11704-022-1213-7

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