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Mendeley readers
Chapter title |
Active Learning in Recommender Systems
|
---|---|
Chapter number | 24 |
Book title |
Recommender Systems Handbook
|
Published by |
Springer US, February 2016
|
DOI | 10.1007/978-1-4899-7637-6_24 |
Book ISBNs |
978-1-4899-7636-9, 978-1-4899-7637-6
|
Authors |
Neil Rubens, Mehdi Elahi, Masashi Sugiyama, Dain Kaplan |
Editors |
Francesco Ricci, Lior Rokach, Bracha Shapira |
Mendeley readers
The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 3 | 1% |
United States | 2 | <1% |
Canada | 2 | <1% |
Austria | 2 | <1% |
Netherlands | 1 | <1% |
Switzerland | 1 | <1% |
Germany | 1 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
Other | 5 | 2% |
Unknown | 194 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 53 | 25% |
Student > Master | 42 | 20% |
Researcher | 34 | 16% |
Student > Bachelor | 19 | 9% |
Student > Doctoral Student | 9 | 4% |
Other | 26 | 12% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 135 | 63% |
Engineering | 19 | 9% |
Social Sciences | 6 | 3% |
Psychology | 4 | 2% |
Business, Management and Accounting | 3 | 1% |
Other | 11 | 5% |
Unknown | 35 | 16% |