Context Aware Recommender Systems for Tourism: A Concise Review
Asmae Bentaleb, Younes El Bouzekri, Ayoub Ait Lahcen, Mohammed Boulmalf · 2018 IEEE 5th International Congress on Information Science and Technology (CiSt) · 2018
Nowadays, with the huge amount of data available to users, it has become difficult and tedious to choose the information that are suitable for them. Hence, the need of recommender systems has been arisen. Such architectures have been implemented in several domains and applications such as health and e-commerce. This paper focuses on the tourism field and presents an up to date survey considering the latest approaches that have been proposed to implement context-aware recommender systems for this domain.