A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77, TOP 5
Turn off MathJax
Article Contents
J. Wang, W. Li, and X. Luo, “A distributed adaptive second-order latent factor analysis model,” IEEE/CAA J. Autom. Sinica.. doi: 10.1109/JAS.2024.124371
Citation: J. Wang, W. Li, and X. Luo, “A distributed adaptive second-order latent factor analysis model,” IEEE/CAA J. Autom. Sinica.. doi: 10.1109/JAS.2024.124371

A Distributed Adaptive Second-Order Latent Factor Analysis Model

doi: 10.1109/JAS.2024.124371
More Information
  • loading
  • [1]
    Y. Koren, R. Bell, and C. Volinsky, “Matrix factorization techniques for recommender systems,” Computer, vol. 42, no. 8, pp. 30–37, Aug. 2009. doi: 10.1109/MC.2009.263
    [2]
    H. Han, T. Zhang, M. L. Benton, C. Li, J. Wang, and J. Li, “Explainable t-SNE for single-cell RNA-SEQ data analysis,” bioRxiv: 2022.01. 12.476084, 2022.
    [3]
    X. Luo, M. Zhou, S. Li, Y. Xia, Z. You, Q. Zhu, and H. Leung, “Incorporation of efficient second-order solvers into latent factor models for accurate prediction of missing QoS data,” IEEE Trans. Cybern., vol. 48, no. 4, pp. 1216–1228, Apr. 2018. doi: 10.1109/TCYB.2017.2685521
    [4]
    A. H. Khan, S. Li, D. Chen, and L. Liao, “Tracking control of redundant mobile manipulator: An RNN based metaheuristic approach,” Neuroco mput., vol. 400, pp. 272–284, Aug. 2020. doi: 10.1016/j.neucom.2020.02.109
    [5]
    S. B. Joseph, E. G. Dada, A. Abidemi, D. O. Oyewola, and B. M. Khammas, “Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems,” Heliyon, vol. 8, no. 5, May. 2022.
    [6]
    A. H. Khan, X. Cao, S. Li, V. N. Katsikis, and L. Liao, “BAS-ADAM: An ADAM based approach to improve the performance of beetle antennae search optimizer,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 2, pp. 461–471, Mar. 2020. doi: 10.1109/JAS.2020.1003048
    [7]
    J. Tang, G. Liu, and Q. Pan, “A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1627–1643, Oct. 2021. doi: 10.1109/JAS.2021.1004129
    [8]
    F. Han, W. Chen, Q. Ling, and H. Han, “Multi-objective particle swarm optimization with adaptive strategies for feature selection,” Swarm Evol. Comput. , vol. 62, Apr. 2021.
    [9]
    Q. Yang, W. Chen, J. Deng, Y. Li, T. Gu, and J. Zhang, “A level-based learning swarm optimizer for large-scale optimization,” IEEE Trans. Evol. Comput., vol. 22, no. 4, pp. 578–594, Aug. 2018. doi: 10.1109/TEVC.2017.2743016
    [10]
    R. Lan, Y. Zhu, H. Lu, Z. Liu, and X. Luo, “A two-phase learning-based swarm optimizer for large-scale optimization,” IEEE Trans. Cybern., vol. 51, no. 12, pp. 6284–6293, Dec. 2021. doi: 10.1109/TCYB.2020.2968400
    [11]
    J. Martens, “Deep learning via Hessian-free optimization,” in Proc. 27th Int. Conf. Mach. Learn., Jun. 2010, pp. 735–742.
    [12]
    Y. Zhou, X. Luo, and M.-C. Zhou, “Cryptocurrency transaction network embedding from static and dynamic perspectives: An overview”, IEEE/CAA J. Autom. Sinica, DOI: 10.1109/JAS.2023.123450.
    [13]
    Q. Liu, “Order-2 stability analysis of particle swarm optimization,” Evol. Comput., vol. 23, no. 2, pp. 187–216, Jun. 2015. doi: 10.1162/EVCO_a_00129
    [14]
    F. M. Harper and J. A. Konstan, “The movielens datasets: History and context,” ACM Trans. Interact. Intell. Syst., vol. 5, no. 4, pp. 1–19, Jan. 2016.
    [15]
    Y. Zhang, Z. Zheng, and M. R. Lyu “WSPred: A time-aware personalized QoS prediction framework for web services,” in Proc. 22nd IEEE Int. Symp. Softw. Rel. Eng. , vol. 15, no. 3, pp. 1334–1344, May–Jun. 2022.
    [16]
    C. Lv, B. Peter, and K. Tsvi, “2nd Workshop on information heterogeneity and fusion in recommender systems (HetRec 2011),” Proc. 5th ACM Conf. Rec. Syst. Oct. 2011.
    [17]
    K. Goldberg, T. Roeder, D. Gupta, and C. Perkins, “Eigentaste: A constant time collaborative filtering algorithm,” Inf. Retrieval, vol. 4, no. 2, pp. 133–151, Jul. 2001. doi: 10.1023/A:1011419012209
    [18]
    X. Luo, M. Zhou, Y. Xia, and Q. Zhu, “An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems,” IEEE Trans. Ind. Informat., vol. 10, no.2, pp. 1273–1284, May 2014.
    [19]
    X. Luo, M. Zhou, S. Li, Z. You, Y. Xia, and Q. Zhu, “A nonnegative latent factor model for large-scale sparse matrices in recommender systems via alternating direction method,” IEEE Trans. Neural Netw. Learn. Syst., vol. 27, no. 3, pp. 579–592, Mar. 2016. doi: 10.1109/TNNLS.2015.2415257
    [20]
    S. Sedhain, A. K. Menon, S. Sanner, and L. Xie, “AutoRec: Autoencoders meet collaborative filtering, in Proc. 24th Int. Conf. World Wide Web, May 2015, pp. 111–112.
    [21]
    X. He, K. Deng, X. Wang, Y. Li, Y. Zhang, and M. Wang, “LightGCN: Simplifying and powering graph convolution network for recommendation,” in Proc. 43rd Int. ACM SIGIR Conf. Res. Develop. Inf. Retr., Jul. 2020, pp. 639–649.
    [22]
    W. Yue, Z. Wang, J. Zhang, and X. Liu, “An overview of recommendation techniques and their applications in healthcare,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 701–717, Apr. 2021. doi: 10.1109/JAS.2021.1003919

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)  / Tables(3)

    Article Metrics

    Article views (39) PDF downloads(7) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return