  Popular videos are often clicked by a mount of users in a short period. With
content recommendation, the popular contents could be broadcast to the
potential users in wireless network, to save huge transmitting resource. In
this paper, the contents propagation model is analyzed due to users' historical
behavior, location, and the converging properties in wireless data
transmission, with the users' communication log in the Chinese commercial
cellular network. And a recommendation scheme is proposed to achieve high
energy efficiency.
