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An Expandable Recommendation System on IPTV

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Book cover Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7332))

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Abstract

IPTV’s mass resources, high quality service and its open and free interactive service mode attract billons of user. It has brilliant potential and also has great challenge. Traditional one algorithm supported recommendation system is no longer content IPTV’s huge service demand. In order to solve this problem, an expandable recommendation system is proposed in this paper. It contains new flexible system framework and basic ideas of applicable algorithms. And it has been implemented in real IPTV system and works well.

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Author information

Authors and Affiliations

  1. Instituation of Computer Aplication, East China Normal University, Dongchuan Road.500, 200241, Shanghai, China

    Jie Xiao & Liang He

Authors
  1. Jie Xiao
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  2. Liang He
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China

    Zhen Ji

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© 2012 Springer-Verlag Berlin Heidelberg

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Xiao, J., He, L. (2012). An Expandable Recommendation System on IPTV. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-31020-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31019-5

  • Online ISBN: 978-3-642-31020-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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