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For: Wang D, Chen Y, Guo J, Shi X, He C, Luo X, Yuan H. Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing 2019;329:66-74. [DOI: 10.1016/j.neucom.2018.10.046] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation. APPL INTELL 2022. [DOI: 10.1007/s10489-021-03039-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
2
An initialization method to improve the training time of matrix factorization algorithm for fast recommendation. Soft comput 2020. [DOI: 10.1007/s00500-020-05419-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
3
Khadem MM, Forghani Y. A recursive algorithm to increase the speed of regression-based binary recommendation systems. Inf Sci (N Y) 2020. [DOI: 10.1016/j.ins.2019.10.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
4
Luo X, Zhou M. Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems. IEEE Robot Autom Lett 2019. [DOI: 10.1109/lra.2019.2891986] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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