De Gruyter STEM
De Gruyter STEM
User modeling and adaptive systems deal with creating and maintaining a user model with the aim to adapt interactive systems. User models can be inferred from implicitly observed user behavior or explicitly entered information, such as the user's profile data, the user's current location or items that the user browsed, searched, tagged or bought earlier.?
Levertijd circa 6 tot 12 dagen
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.