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International Conference on the Economics of Grids, Clouds, Systems, and Services

GECON 2016: Economics of Grids, Clouds, Systems, and Services pp 102–114Cite as

Efficient Context Management and Personalized User Recommendations in a Smart Social TV Environment

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10382))

Abstract

With the emergence of Smart TV and related interconnected devices, second screen solutions have rapidly appeared to provide more content for end-users and enrich their TV experience. Given the various data and sources involved - videos, actors, social media and online databases- the aforementioned market poses great challenges concerning user context management and sophisticated recommendations that can be addressed to the end-users. This paper presents an innovative Context Management model and a related first and second screen recommendation service, based on a user-item graph analysis as well as collaborative filtering techniques in the context of a Dynamic Social & Media Content Syndication (SAM) platform. The model evaluation provided is based on datasets collected online, presenting a comparative analysis concerning efficiency and effectiveness of the current approach, and illustrating its added value.

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Notes

  1. 1.

    Second Screen Society: http://www.2ndscreensociety.com/.

  2. 2.

    http://www.vizrt.com/solutions/social-tv-solution/.

  3. 3.

    http://adexchanger.com/digital-tv/social-tv-platform-beamly-learns-the-second-screen-is-a-feed/.

  4. 4.

    https://neo4j.com/graphgist/8173017/.

  5. 5.

    http://www.cs.waikato.ac.nz/ml/weka/.

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Acknowledgements

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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Authors and Affiliations

  1. Distributed, Knowledge and Media Systems Group, National Technical University of Athens, Athens, Greece

    Fotis Aisopos, Alexandros Psychas, Andreas Menychtas & Theodora Varvarigou

  2. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

    Angelos Valsamis

Authors
  1. Fotis Aisopos
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  2. Angelos Valsamis
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  3. Alexandros Psychas
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  4. Andreas Menychtas
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  5. Theodora Varvarigou
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Corresponding author

Correspondence to Fotis Aisopos .

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Editors and Affiliations

  1. Department of Computer Science, University of Zaragoza, Zaragoza, Spain

    José Ángel Bañares

  2. Harokopio University, Tavros, Greece

    Konstantinos Tserpes

  3. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

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Aisopos, F., Valsamis, A., Psychas, A., Menychtas, A., Varvarigou, T. (2017). Efficient Context Management and Personalized User Recommendations in a Smart Social TV Environment. In: Bañares, J., Tserpes, K., Altmann, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2016. Lecture Notes in Computer Science(), vol 10382. Springer, Cham. https://doi.org/10.1007/978-3-319-61920-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-61920-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61919-4

  • Online ISBN: 978-3-319-61920-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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