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Mendeley readers
Chapter title |
Improving Deep Item-Based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation
|
---|---|
Chapter number | 22 |
Book title |
Knowledge Science, Engineering and Management
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-55130-8_22 |
Book ISBNs |
978-3-03-055129-2, 978-3-03-055130-8
|
Authors |
Xiao Li, Xiang Li, Jintao Tang, Ting Wang, Yang Zhang, Hongyi Chen, Li, Xiao, Li, Xiang, Tang, Jintao, Wang, Ting, Zhang, Yang, Chen, Hongyi |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 30% |
Researcher | 3 | 30% |
Student > Ph. D. Student | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 50% |
Business, Management and Accounting | 1 | 10% |
Social Sciences | 1 | 10% |
Unknown | 3 | 30% |