Multi-Dimensional Correlative Recommendation and Adaptive Clustering via Incremental Tensor Decomposition for Sustainable Smart Education

Online education and e-learning have vigorously sprung up and produced massive educational data in a streaming way. It is very challenging to acquire the appropriate learning resources and the suitable learning partners from the streaming-updated educational big data. This article aims to provide su...

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Vydané v:	IEEE transactions on sustainable computing Ročník 5; číslo 3; s. 389 - 402
Hlavní autori:	Liu, Huazhong, Ding, Jihong, Yang, Laurence T., Guo, Yimu, Wang, Xiaokang, Deng, Anyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms adaptive clustering adaptive community recommendation Adaptive learning Algorithms Big Data CAI Clustering Clustering algorithms Computer assisted instruction Correlation analysis Decomposition Distance learning Education educational big data Educational services Electronic learning Euclidean distance incremental tensor decomposition Machine learning Mathematical analysis multi-dimensional correlative analysis personalized resource recommendation Sensors Sustainable development Sustainable smart education Tensors
ISSN:	2377-3782, 2377-3790
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