Name
Title | ||
|---|---|---|
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization |
Abstract | ||
|---|---|---|
•Student attributes, relations and comment are used to construct feature network.•The network provides students’ personalization and their mastery of knowledge.•With network feature, a “user-item-personalization” rating tensor is constructed.•The rating tensor is decomposed by tensor factorization methods via learning.•A course recommendation model is proposed based on aforementioned processes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neucom.2020.07.064 | Neurocomputing |
Keywords | DocType | Volume |
Offline course recommendation,Tensor factorization,Teaching evaluation network,Rating prediction,Personalized recommendation,e-learning | Journal | 415 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
47 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yifan Zhu | 1 | 30 | 7.34 |
| Hao Lu | 2 | 140 | 20.86 |
| Ping Qiu | 3 | 9 | 1.80 |
| Kaize Shi | 4 | 16 | 2.82 |
| James Chambua | 5 | 10 | 1.78 |
| Zhendong Niu | 6 | 548 | 67.31 |