Adaptive Content Recommendation by Mobile Apps Mash-Up in the Ubiquitous Environment
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.
KeywordsSoftware as a service Service level agreement Apps mash-up Content filtering Adaptive content recommendation
This research was supported in part by the Industrial Technology Research Institute and the National Science Council of Taiwan (Republic of China) with an NSC grant 101-2410-H-025-006.
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