User Controlled News Recommendations

The adoption of mobile devices is pushing the Internet into a more personal and context aware space. A common challenge for online news services is to deliver contents that are interesting to read. In this paper, we describe the user interface design of the SmartMedia news recommender prototype. Through deep analysis of textual news contents it is able to deliver local, recent and personalized news experiences, and the user interface is designed to give the users control over the news stream compositions. We will present its innovative user interface and the approach taken to transform raw textual data into well defined and meaning bearing entities.