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For mobile devices, communication via cellular networks consumes more energy, and has a lower data rate than Wi-Fi networks, and suffers an expensive limited data plan. However the Wi-Fi network coverage range and density are smaller than those of the cellular networks. In this paper, the authors present a behavior-aware and preference-based approach to prefetch news web-pages that a user will be interested in and access, by exploiting the Wi-Fi network connections to reduce the energy and monetary cost. In their solution, they first design an efficient preference learning algorithm based on keywords and URLs visited, which will keep track of the user's changing interests.
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