Service Rating Prediction by Exploring Social Mobile User’s Geographical Locations

Social media interaction and analytics for enhanced educational experiences

Abstract

In this article, the authors present an innovative system based on social media and high-quality multimedia content delivery designed to enhance the educational experiences of students in cultural centers and museums. The system brings together students who are viewing an educational movie and a panel of experts who might be geographically dispersed and engages them in an exciting social mediaexperience that lets students interact with each other as well as the remote experts. The authors employ appropriate methodologies for monitoring and analyzing social network activity to extract valuable information from that activity and use it to seamlessly annotate the presented educationalmovie in real time using anthropocentric semantic extraction based on MPEG-7. Thus, the multimedia content of the presented movie can be easily reviewed by multiple geographically dispersed individuals, and later improved according to the received feedback, thus maximizing the benefits for students, teachers, and content producers alike. This article is part of a special issue on social media for learning

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