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 …

This paper presents a recommender system for tourism based on the tastes of the users,
their demographic classification and the places they have visited in former trips. The system …

The evolution of the internet over the past years has given destinations, suppliers of tourism
services and intermediaries a wide range of new possibilities to get into contact with their …

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 …

e-Tourism is a tourist recommendation and planning application to assist users on the
organization of a leisure and tourist agenda. First, a recommender system offers the user a …

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 …

In this paper, we argue that the process of developing travel recommender systems (TRS)
can be simplified. By studying the application domain of tourism information systems, and …

Recommender systems are commonly defined as applications that e-commerce sites exploit
to suggest products and provide consumers with information to facilitate their decision …

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 …

Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …