Fog based recommender system and its provacy issues

This study investigates fog computing and its application in recommender systems. It theoretically analyzes and proposes a fog-based recommender system to solve information overload problems in fog computing and becomes a tool for fog computing optimization. Meanwhile, the trade-off between privacy level and data utility of the system has been investigated and achieved.