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Mendeley readers
Chapter title |
Topic Modeling for Personalized Recommendation of Volatile Items
|
---|---|
Chapter number | 31 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Berlin, Heidelberg, September 2010
|
DOI | 10.1007/978-3-642-15883-4_31 |
Book ISBNs |
978-3-64-215882-7, 978-3-64-215883-4
|
Authors |
Maks Ovsjanikov, Ye Chen |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 3% |
Korea, Republic of | 1 | 3% |
United Kingdom | 1 | 3% |
Denmark | 1 | 3% |
China | 1 | 3% |
United States | 1 | 3% |
Unknown | 29 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Student > Master | 7 | 20% |
Other | 5 | 14% |
Student > Bachelor | 4 | 11% |
Researcher | 3 | 9% |
Other | 4 | 11% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 74% |
Engineering | 4 | 11% |
Mathematics | 2 | 6% |
Decision Sciences | 1 | 3% |
Unknown | 2 | 6% |