Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Adaptive Content Recommendation by Mobile Apps Mash-Up in the Ubiquitous Environment
verfasst von : Chih-Kun Ke, Yi-Jen Yeh, Chang-Yu Jen, Ssu-Wei Tang
Erschienen in: Information Technology Convergence
Verlag: Springer Netherlands
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Traditionally, e-services are composed to assist the enterprise business process. In recent years, Software as a Service (SaaS) model in cloud computing enriches the mobile commerce. Mobile commerce promotes the service providers building an application market platform to serve customers. However, an application market platform may collect a huge number of mobile application services (mobile Apps) and each App is usually designed with little functionality. A customer may fetch a number of Apps to mash up in order to satisfy his/her comprehensive requirements. How to mash up the Apps to provide a feature-rich composition for a customer becomes an interest research issue. In this work, we explore an approach of Apps mash-up composition in a service platform for adaptive content recommendation. A user profile conducts the service level agreements in evaluating the service quality. An Apps mash-up composition is recommended to the customer an adaptive content in a ubiquitous environment.