Interpretable MOOC Course Recommendations Based on Reinforcement Knowledge Graph
Author:
Affiliation:
1. Anhui Jianzhu University,Hefei,Anhui Province,China
2. Anhui XinHua University,Faculty of Big Data and Artificial Intelligence,Hefei,Anhui Province,China
3. Hefei No. 1 Middle School American High School,Hefei,Anhui Province,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10648986/10649042/10649286.pdf?arnumber=10649286
Reference20 articles.
1. Course Recommendation using Domain-based Cluster Knowledge and Matrix Factorization
2. Learning Resource Recommendation Based on Generalized Matrix Factorization and Long Short-Term Memory Model
3. Personalized Thread Recommendation for MOOC Discussion Forums
4. Research on Basketball Teaching Network Course Resource Recommendation Method Based on Deep Learning Algorithm
5. A recurrent neural network-based recommender system framework and prototype for sequential E-learning
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