With the development of the Internet, technology, and means of communication, the
production of tourist data has multiplied at all levels (hotels, restaurants, transport, heritage …

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 …

Despite of tourism infrastructure and software, the development of tourism is hampered due
to the lack of information support, which encapsulates various aspects of travel …

In recent times, selection of a suitable hotel location and reservation of accommodation have
become a critical issue for the travelers. The online hotel search has been increased at a …

Loyalty in tourism is one of the main concerns for tourist organizations and researchers
alike. Recently, technology in general and CRM and social networks in particular have been …

Recommendation has a long history as a successful application area of Artificial
Intelligence. The demand of e-commerce platforms (eg, amazon. com) to improve the …

In a ubiquitous computing scenario, characterized by pervasive technologies, tourists can
get assistance from mobile technologies in planning their trips. In a context where more and …

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 …

Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …

Abstract Web 2.0 and its services, such as social networks, have significantly influenced
various businesses, including e-commerce. As a result, we face a new generation of e …