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Second Screen User Profiling and Multi-level Smart Recommendations in the Context of Social TVs

  • Angelos ValsamisEmail author
  • Alexandros Psychas
  • Fotis Aisopos
  • Andreas Menychtas
  • Theodora Varvarigou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10108)

Abstract

In the context of Social TV, the increasing popularity of first and second screen users, interacting and posting content online, illustrates new business opportunities and related technical challenges, in order to enrich user experience on such environments. SAM (Socializing Around Media) project uses Social Media-connected infrastructure to deal with the aforementioned challenges, providing intelligent user context management models and mechanisms capturing social patterns, to apply collaborative filtering techniques and personalized recommendations towards this direction. This paper presents the Context Management mechanism of SAM, running in a Social TV environment to provide smart recommendations for first and second screen content. Work presented is evaluated using real movie rating dataset found online, to validate the SAM’s approach in terms of effectiveness as well as efficiency.

Keywords

Second screen Social TV Context management Recommendations 

Notes

Acknowledgment

This work has been supported by the SAM project and funded from the European Union’s 7th Framework Programme for research, technological development and demonstration under grant agreement no 611312.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Angelos Valsamis
    • 1
    Email author
  • Alexandros Psychas
    • 1
  • Fotis Aisopos
    • 1
  • Andreas Menychtas
    • 1
  • Theodora Varvarigou
    • 1
  1. 1.Distributed, Knowledge and Media Systems GroupNational Technical University of AthensAthensGreece

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