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Mendeley readers
Chapter title |
Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems
|
---|---|
Chapter number | 17 |
Book title |
E-Commerce and Web Technologies
|
Published by |
Springer Berlin Heidelberg, August 2013
|
DOI | 10.1007/978-3-642-39878-0_17 |
Book ISBNs |
978-3-64-239877-3, 978-3-64-239878-0
|
Authors |
Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Narducci, Fedelucio, Musto, Cataldo, Semeraro, Giovanni, Lops, Pasquale, Gemmis, Marco de, de Gemmis, Marco |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 3% |
Germany | 1 | 3% |
Italy | 1 | 3% |
Unknown | 30 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 24% |
Researcher | 7 | 21% |
Student > Master | 7 | 21% |
Professor | 2 | 6% |
Other | 1 | 3% |
Other | 3 | 9% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 45% |
Business, Management and Accounting | 3 | 9% |
Social Sciences | 2 | 6% |
Engineering | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Other | 1 | 3% |
Unknown | 8 | 24% |