| 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 15% |
| Student > Ph. D. Student | 12 | 9% |
| Lecturer | 10 | 8% |
| Student > Bachelor | 8 | 6% |
| Lecturer > Senior Lecturer | 5 | 4% |
| Other | 23 | 18% |
| Unknown | 50 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 33% |
| Business, Management and Accounting | 8 | 6% |
| Social Sciences | 7 | 6% |
| Unspecified | 5 | 4% |
| Engineering | 5 | 4% |
| Other | 8 | 6% |
| Unknown | 52 | 41% |