Personalized Learning Resource Recommendation Method Based on Dynamic Collaborative Filtering
Authors:
- 26 October 2020
- journal article
- research article
- Published by Springer Nature in Mobile Networks and Applications
- Vol. 26 (1) , 473-487
Abstract
No abstract availableKeywords
Funding Information
- Teaching Research of Undergraduate Teaching Engineering of Fuyang Normal University (2019JYXM35)
- National College Students Innovation and Entrepreneurship Training Program (S201910371062)
- Natural Science Foundation of Hunan Province (2020JJ5368)
- Natural Science Foundation of Inner Mongolia Autonomous Region (2018MS6010)
This publication has 22 references indexed in Scilit:
- A hybrid quantum-induced swarm intelligence clustering for the urban trip recommendation in smart cityFuture Generation Computer Systems, 2018
- Personalized learning full-path recommendation model based on LSTM neural networksInformation Sciences, 2018
- A new feature selection method to improve the document clustering using particle swarm optimization algorithmJournal of Computational Science, 2018
- User Participation in Collaborative Filtering-Based Recommendation Systems: A Game Theoretic ApproachIEEE Transactions on Cybernetics, 2018
- Interactive resource recommendation algorithm based on tag informationWorld Wide Web, 2018
- An efficient parallel similarity matrix construction on MapReduce for collaborative filteringThe Journal of Supercomputing, 2018
- A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation SystemIEEE Transactions on Cybernetics, 2018
- A content-based recommendation algorithm for learning resourcesMultimedia Systems, 2017
- A personalized recommendation system with combinational algorithm for online learningJournal of Ambient Intelligence and Humanized Computing, 2017
- Knowledge-based recommendation: a review of ontology-based recommender systems for e-learningArtificial Intelligence Review, 2017