Joint optimization for social content delivery in wireless networks

Over the last decade, success of social networks has significantly reshaped how people consume information. Recommendation of contents based on user profiles is well-received. However, as users become increasingly mobile, little is done to consider the constraints of the wireless environment. In this paper, we investigate a centralized wireless content delivery system, aiming to optimize overall user experience given the capacity constraints of the wireless networks, by deciding what contents to deliver and how. We propose a scheduling framework incorporating content deliverability. Results indicate this novel joint optimization approach outperforms existing systems, which separates recommendation and delivery, especially when the wireless network is operating at maximum capacity.