Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications
Author:
Affiliation:
1. College of Computer and Information Science, Southwest University, Chongqing, China
2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA
Funder
National Natural Science Foundation of China
Natural Science Foundation of Chongqing Municipality
CAAI-Huawei MindSpore Open Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7433297/10480102/10400813.pdf?arnumber=10400813
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1. Web Service QoS Prediction via Collaborative Filtering: A Survey
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4. A Survey on Evolved LoRa-Based Communication Technologies for Emerging Internet of Things Applications
5. VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation
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