Social TV analytics: a novel paradigm to transform TV watching experience

  • Authors:
  • Han Hu;Jian Huang;He Zhao;Yonggang Wen;Chang Wen Chen;Tat-Seng Chua

  • Affiliations:
  • National University of Singapore, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;Nanyang Technological University, Singapore;State University of New York, Buffalo, NY;National University of Singapore, Singapore

  • Venue:
  • Proceedings of the 5th ACM Multimedia Systems Conference
  • Year:
  • 2014

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Abstract

The blooming online social networks have revolutionized the way information is created, disseminated and consumed, positing significant challenges to the conventional information propagation carriers, especially for the television land-scape. In this paper, we design and develop a multi-screen cloud social TV integrated with social media via a second screen as a novel paradigm in response to this trend. Our system comprises three building blocks, including a cloud based social TV system, a social TV analytics system, and a multi-screen orchestration system. In particular, we leverage the cloud infrastructure to improve the system scalability, and design intelligent social media collection & analysis mechanisms to mine deeper social perception. Furthermore, we demonstrate two key features of our system based on a real user case.