In the modern era, the tourism sector has grown to be one of the dominant sectors globally
while technology continues to evolve. These facts have given birth to the “Smart Tourism” …

Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …

Vendors of mobile communication applications/services (apps) aim at improve their designs
to attract and retain users, and thus achieve the critical mass needed to ensure the success …

Advanced technology enables users to amalgamate information from various sources on
their mobile devices, personalise their profile through applications and social networks, as …

Artificial intelligence (AI) is currently present in almost every area of travel and tourism,
appearing in different types of applications such as personalization and recommender …

Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …

The Web is a constantly evolving, complex system, with important implications for both
marketers and consumers. In this paper, we contend that over the next five to ten years …

The amount of touristic and travel information existing on the Internet is overwhelming.
Recommender systems are typically used to filter irrelevant information and to provide …

Recommender systems are currently successful solutions for facilitating access for online
users to the information that fits their preferences and needs in overloaded search spaces. In …

Collaborative filtering recommender systems (CFRSs) have already been proved effective to
cope with the information overload problem since they merged in the past two decades …