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Mendeley readers
Chapter title |
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
|
---|---|
Chapter number | 13 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47426-3_13 |
Book ISBNs |
978-3-03-047425-6, 978-3-03-047426-3
|
Authors |
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng Ann Heng, Liu, Weiwen, Liu, Feng, Tang, Ruiming, Liao, Ben, Chen, Guangyong, Heng, Pheng Ann |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 21% |
Student > Doctoral Student | 3 | 9% |
Student > Master | 3 | 9% |
Student > Bachelor | 3 | 9% |
Lecturer | 1 | 3% |
Other | 3 | 9% |
Unknown | 14 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 32% |
Business, Management and Accounting | 2 | 6% |
Economics, Econometrics and Finance | 1 | 3% |
Social Sciences | 1 | 3% |
Unknown | 19 | 56% |