Personalized Learning Resource Recommendation Method Based on Dynamic Collaborative Filtering-Reference-Cited by-同舟云学术

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Personalized Learning Resource Recommendation Method Based on Dynamic Collaborative Filtering

Published:2020-10-26 Issue:1 Volume:26 Page:473-487
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Wang Honggang,Fu Weina^ORCID

Funder

Teaching Research of Undergraduate Teaching Engineering of Fuyang Normal University

National College Students Innovation and Entrepreneurship Training Program

Natural Science Foundation of Hunan Province

Natural Science Foundation of Inner Mongolia

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-020-01673-6.pdf

Reference25 articles.

1. Shuai L, Chunli G, Fadi AT, Khan M et al (2020) Reliability of response region: a novel mechanism in visual tracking by edge computing for IIoT environments. Mech Syst Signal Process 138:106537

2. Shu J, Shen X, Liu H, Yi B, Zhang Z (2018) A content-based recommendation algorithm for learning resources. Multimedia Systems 24(2):163–173

3. Tarus JK, Niu Z, Mustafa G (2018) Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artif Intell Rev 50(1):21–48

4. Zhou Y, Huang C, Hu Q, Zhu J, Tang Y (2018) Personalized learning full-path recommendation model based on LSTM neural networks. Inf Sci 444:135–152

5. Abualigah LM, Khader AT, Hanandeh ES (2018) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466

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