A highly interactive tourism recommender system for multi-day trips

Autores UPV
Año
CONGRESO A highly interactive tourism recommender system for multi-day trips

Abstract

This paper presents troovel.com, a Tourism Recommender System (TRS) that helps the user plan a multi-day trip anywhere in the world. The system presents various precomputed agendas that the user can adapt to her own requirements and preferences. troovel.com records the interaction of the user while navigating the web site and uses these data to offer personalized recommendations. Recommendations are calculated by applying a content-based technique and a novel filtering approach based on dynamic relationships between items extracted during the user navigation. Results show that users are more responsive to recommendations provided by our TRS than those offered by a standard recommendation.