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Improved Recommendation System Using Friend Relationship in SNS

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Transactions on Computational Collective Intelligence XIX

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 9380))

Abstract

With the rapid development of the Internet, SNS services and 3G commercial mobile applications there have been tremendous opportunities although the development of SNS is very short in China, and the social web game is in the early stage of development. Because of massive users, the potential commercial value of Chinese SNS is still a great mining space. However, a relatively large defects is the precipitation and accumulation on content. The dynamic of friends will affect our own decisions largely, it is favorable for the activity of SNS to increase the number of friends. We have improved the existing models, and conduct experiments to validate it and compare it with previous methods.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Qing Liao, Bin Wang & Yanxiang Ling

  2. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Jingling Zhao & Xinyue Qiu

  3. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, 100876, China

    Qing Liao, Bin Wang & Yanxiang Ling

Authors
  1. Qing Liao
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  2. Bin Wang
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  3. Yanxiang Ling
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  4. Jingling Zhao
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  5. Xinyue Qiu
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Corresponding author

Correspondence to Qing Liao .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Ryszard Kowalczyk

  3. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

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Liao, Q., Wang, B., Ling, Y., Zhao, J., Qiu, X. (2015). Improved Recommendation System Using Friend Relationship in SNS. In: Nguyen, N., Kowalczyk, R., Xhafa, F. (eds) Transactions on Computational Collective Intelligence XIX . Lecture Notes in Computer Science(), vol 9380. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49017-4_2

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  • DOI: https://doi.org/10.1007/978-3-662-49017-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49016-7

  • Online ISBN: 978-3-662-49017-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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