Gathering the outcomes of the 27th annual international eTourism conference ENTER2020, this book presents new research, innovative systems and industry case studies on the application of Information and Communication Technologies (ICT) in travel and tourism. It shares the latest findings discussed at the conference and highlights various topics within the field, including social media, destination marketing, recommender systems and decision-making, virtual and augmented reality, technology in tourism, and research on hotels and activities. Readers will find a wealth of state-of-the-art insights and ideas on how information and communication technologies can be applied in travel and tourism.

Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities.

With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important.

This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.

Gathering the outcomes of the 27th annual international eTourism conference ENTER2020, this book presents new research, innovative systems and industry case studies on the application of Information and Communication Technologies (ICT) in travel and tourism. It shares the latest findings discussed at the conference and highlights various topics within the field, including social media, destination marketing, recommender systems and decision-making, virtual and augmented reality, technology in tourism, and research on hotels and activities. Readers will find a wealth of state-of-the-art insights and ideas on how information and communication technologies can be applied in travel and tourism.

Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities.

With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important.

This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.