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Mendeley readers
Chapter title |
Cross-Domain Recommendation via Deep Domain Adaptation
|
---|---|
Chapter number | 3 |
Book title |
Advances in Information Retrieval
|
Published by |
Springer, Cham, April 2019
|
DOI | 10.1007/978-3-030-15719-7_3 |
Book ISBNs |
978-3-03-015718-0, 978-3-03-015719-7
|
Authors |
Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 110 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 16% |
Student > Master | 17 | 15% |
Student > Bachelor | 12 | 11% |
Other | 9 | 8% |
Researcher | 8 | 7% |
Other | 11 | 10% |
Unknown | 35 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 51% |
Mathematics | 4 | 4% |
Medicine and Dentistry | 2 | 2% |
Economics, Econometrics and Finance | 2 | 2% |
Engineering | 2 | 2% |
Other | 6 | 5% |
Unknown | 38 | 35% |