Recommendation Scheme Based on Converging Properties for Contents Broadcasting

TL;DR

This paper proposes a recommendation scheme leveraging converging properties and user behavior to efficiently broadcast popular content in wireless networks, aiming to save transmission resources.

Contribution

It introduces a novel content propagation model based on user behavior and location, and develops a recommendation scheme for energy-efficient content broadcasting.

Findings

Model effectively predicts content popularity based on user data.

Scheme reduces transmission resource consumption.

Improves energy efficiency in wireless content broadcasting.

Abstract

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.