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Mendeley readers
Chapter title |
Recommender Systems in Industry: A Netflix Case Study
|
---|---|
Chapter number | 11 |
Book title |
Recommender Systems Handbook
|
Published by |
Springer US, November 2015
|
DOI | 10.1007/978-1-4899-7637-6_11 |
Book ISBNs |
978-1-4899-7636-9, 978-1-4899-7637-6
|
Authors |
Xavier Amatriain, Justin Basilico |
Editors |
Francesco Ricci, Lior Rokach, Bracha Shapira |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 68 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 25% |
Researcher | 7 | 10% |
Student > Bachelor | 6 | 9% |
Professor > Associate Professor | 3 | 4% |
Student > Ph. D. Student | 3 | 4% |
Other | 3 | 4% |
Unknown | 29 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 25% |
Social Sciences | 4 | 6% |
Design | 4 | 6% |
Business, Management and Accounting | 3 | 4% |
Arts and Humanities | 2 | 3% |
Other | 7 | 10% |
Unknown | 31 | 46% |