A Novel Approach for Predicting Popularity of User Created Content Using Geographic-Economic and Attention Period Features

Abstract

Today, the rapid growth of the internet has led to the rapid dissemination of the User Generated Content, which is visible in the exponential growth of websites like Twitter, YouTube, Facebook and Instagram. With this rapid development, identification of the content which is going to be popular has posed some interesting paradigm. Since the application domain of the topic include a big set including network dimensioning, server load balancing, marketing strategic decisions, recommendation systems, etc. this topic poses an interesting field. In this paper, we propose a new framework for the popularity prediction of a User Created Content by exploiting the features that include the attention period of any viewer and the economic factors of the publisher network.