A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model

Author:

Li Jinli,Yuan Ye,Ruan Tao,Chen JiaORCID,Luo Xin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference58 articles.

1. Incorporation of efficient second-order solvers into latent factor models for accurate prediction of missing QoS data;Luo;IEEE Trans. Cybernetics,2018

2. P. Massa, and P. Avesani, “Trust-aware recommender systems,” in Proc. of the First ACM Conf. on Recommender Systems, Minneapolis, MN, USA, pp. 17-24, 2007.

3. Computational intelligence tools for next generation quality of service management;Rafael;Neurocomputing,2009

4. Latent factor-based recommenders relying on extended stochastic gradient descent algorithms;Luo;IEEE Trans. Syst. Man Cyber: Syst.,2018

5. A non-negative latent factor model for large-scale sparse matrices in recommender systems via alternating direction method;Luo;IEEE Trans. Neural Networks Learn. Syst.,2016

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