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A Ranking Model Based on Credit for Social News Website

  • Conference paper
Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

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Abstract

Social news websites were popular for a time, but recently the traffics of some social news websites have been slowing down, even some of them went out of business. It’s caused partly by the emergence of massive spam news and the news publication algorithm heavily relying on the ranking of senior users while ignoring the ranking of ordinary users. In order to solve these problems, this paper proposes a ranking model based on credit. On the technology, utilizes the qualitative mapping as the credit threshold activation model, uses the K-means method for classifying the users and attribute ranging model to calculate the value of the user credit. The simulation experiment shows this model can effectively reduce the spam news and pay more attention on regular users.

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References

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Author information

Authors and Affiliations

  1. School of Mathematics and Information, Shanghai Lixin University of Commerce, Shanghai, 201620, China

    Guanglin Xu

  2. College of Computer and Information, Shanghai Second Polytechnic University, Shanghai, 201101, China

    Xiaolin Xu

  3. College of Information Engineering, Shanghai Maritime University, Shanghai, 200135, China

    Jiali Feng

Authors
  1. Guanglin Xu
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  2. Xiaolin Xu
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  3. Jiali Feng
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Xu, G., Xu, X., Feng, J. (2011). A Ranking Model Based on Credit for Social News Website. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_52

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  • DOI: https://doi.org/10.1007/978-3-642-24273-1_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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