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Mendeley readers
Chapter title |
Addressing Item-Cold Start Problem in Recommendation Systems Using Model Based Approach and Deep Learning
|
---|---|
Chapter number | 17 |
Book title |
ICT Innovations 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-67597-8_17 |
Book ISBNs |
978-3-31-967596-1, 978-3-31-967597-8
|
Authors |
Ivica Obadić, Gjorgji Madjarov, Ivica Dimitrovski, Dejan Gjorgjevikj |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 21% |
Researcher | 4 | 14% |
Student > Bachelor | 3 | 10% |
Student > Ph. D. Student | 3 | 10% |
Lecturer | 1 | 3% |
Other | 2 | 7% |
Unknown | 10 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 45% |
Mathematics | 2 | 7% |
Linguistics | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Neuroscience | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 34% |