Abstract Recommender Systems (RSs) have been extensively utilized as a means of
reducing the information overload and offering travel recommendations to tourists. The …

Over the last 20 years, cultural heritage has been a favored domain for personalization
research. For years, researchers have experimented with the cutting edge technology of the …

Many current e-commerce systems provide personalization when their content is shown to
users. In this sense, recommender systems make personalized suggestions and provide …

Amid the rapid development of information communication technologies (ICTs), residents of
future smart cities are expected to be exposed to unprecedented amounts of real-time …

This book is a second edition, updated and expanded to explain the technologies that help
us find information on the web. Search engines and web navigation tools have become …

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 …

Internet has significantly influenced the tourism sector providing a great variety of services
and products online. However, the number of choices has increased so dramatically that is …

Provision of personalized recommendations to users requires accurate modeling of their
interests and needs. This work proposes a general framework and specific methodologies …

Personalized adaptive learning requires semantic-based and context-aware systems to
manage the Web knowledge efficiently as well as to achieve semantic interoperability …

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 …