A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism
Tunisia is well placed in terms of medical tourism and has highly qualified and specialized medical and surgical teams. Integrating social networks in Tunisian medical tourism recommender systems can result in much more accurate recommendations. That is to say, information, interests, and recommenda...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ediciones Universidad de Salamanca
2015-12-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/13310 |