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.
- Pub Date:
- October 2014
- Computer Science - Multimedia;
- Computer Science - Information Retrieval
- 6 pages. This work is present at 2015 International Workshop on Networking Issues in Multimedia Entertainment (NIME'15)