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Mendeley readers
| Title |
LOOKER: a mobile, personalized recommender system in the tourism domain based on social media user-generated content
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, January 2019
|
| DOI | 10.1007/s00779-018-01194-w |
| Authors |
Sondess Missaoui, Faten Kassem, Marco Viviani, Alessandra Agostini, Rim Faiz, Gabriella Pasi |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 16% |
| Student > Ph. D. Student | 11 | 9% |
| Lecturer | 10 | 8% |
| Student > Bachelor | 8 | 7% |
| Lecturer > Senior Lecturer | 5 | 4% |
| Other | 18 | 15% |
| Unknown | 51 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 34% |
| Business, Management and Accounting | 8 | 7% |
| Social Sciences | 7 | 6% |
| Engineering | 5 | 4% |
| Design | 3 | 2% |
| Other | 5 | 4% |
| Unknown | 53 | 43% |