Engineering Applications of Artificial Intelligence
Property-based collaborative filtering for health-aware recommender systems
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
| Hi-index | 0.43 |
Tourism recommender systems match the user preferences against the huge diversity of tourist resources, helping to decide where to go and what to do. Current approaches require the users to initialize manually their profiles by expressing their interests accurately, which is a very tedious process. We propose a system that automatically infers the users驴 preferences from their TV viewing histories, i.e., the tourism resources the users might appreciate are selected by considering the TV contents they enjoyed in the past. To this aim, we have developed a context-aware semantics-based recommendation strategy that considers both the users驴 preferences and the interests of like-minded individuals. The resulting recommendations shape a tailormade on-move travel plan the users can access via (domestic and) handheld consumer devices.