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Mobile news recommender systems help users retrieve news that is relevant in their particular context and can be presented in ways that require minimal user interaction. In spite of the availability of contextual information about mobile users, though, current mobile news applications employ rather simple strategies for news recommendation. Our multi-perspective approach unifies temporal, locational, and preferential information to provide a more fine grained recommendation strategy. 

The NTNU Smartmedia program at the Department of Computer and Information Science, Norwegian University of Science and Technology, was established in 2012 in close collaboration with the Scandinavian media industry. As the industry is addressing the abundance of news and information in general from news agencies and social sites, as well as open data from public and private institutions, it has become paramount to develop architectures and technologies for large-scale realtime data processing. The intention of Smartmedia is to look into new technologies that may help the companies and their journalists deal with the explosion of online information and present news more efficiently and attractively to readers. Central to this program are technologies like:

• Big Data architectures
• Information retrieval and recommendation
• Semantics
• Text analytics and sentiment analysis
• Mobile platforms

Currently, we run one project on mobile news recommendation and take part in an industrial project on data-driven journalism. Questions about the Smartmedia program can be directed to Prof. Jon Atle Gulla.