Towards Context-Aware Mobile Web Browsing

With the rapid development of mobile web technology, different kinds of mobile web services are emerging, such as instant news, music, advertisement, etc. Due to the limit of mobile devices and the overloaded information, it is necessary to recommend personalized information to the end-users. In this paper, we propose a context-aware mobile web browsing system for personalized information recommendation on mobile devices. We capture the user’s contexts such as time and location during web browsing to obtain context-based user preferences. The system then recommends users most favoured content by adapting the webpage according to user profile and the current context. Finally, we implement a prototype of context-aware mobile web browsing system using HTML5 on Android platform and conduct a preliminary evaluation with respect to user satisfaction and recommendation accuracy.