Service platform for user schedule based applications recommendation

Abstract

Due to the recent rapid growth of service applications, the need for service platform which allows development and management of applications has increased. A service platform supports developers to create and mashup applications by combining components of existing applications and web services. In this paper, we use mashlet that is the basic component of mashup application that implements a specific functionality. In this paper, we propose the service platform provides the user schedule based applications recommendation including mashlets. It extracts the events from user schedules and estimates intents by event type classification. And, it recommends the mashlets matched with intents. Thus, the useful mashlet recommendation can enhance the availability of applications or mashlets. Also we develop the schedule applications and mashlets that show our platform features. As our platform uses schedules that can connect to user actions, and suggests the more useful applications to comply with user's need, without search and download of applications.