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The Searching Ranking Model Based on the Sharing and Recommending Mechanism of Social Network

  • Hongxiao Fei
  • Tianchi Mo
  • Yang Wang
  • Zequan Wu
  • Yihuan Liu
  • Li KuangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9464)

Abstract

The combination of social network and search engine is the trend of internet in coming years. Through introducing the widely utilized sharing and recommending mechanism in social network to search engine, this paper proposes a new searching ranking model. This model judges the quality of web pages and decide what extent do they meet users’ personalized need through analyzing the records of users’ social circle’s behavior of sharing and recommending. Then, it can make search engine provide users with personalized results sequences. Both the experiment and the theoretical analysis show the proposed model can automatically help users to select the high quality search results, and provide users with better personalized service.

Keywords

Search engine Personalized search Ranking model Social network Sharing and recommending mechanism 

Notes

Acknowledgement

The research is supported by “National Natural Science Foundation of China” (No. 61202095, No. 61073186) and “National Undergraduates’ Innovation and Entrepreneurship Training Program of China” (NO. 201310533018).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Hongxiao Fei
    • 1
  • Tianchi Mo
    • 1
  • Yang Wang
    • 1
  • Zequan Wu
    • 1
  • Yihuan Liu
    • 1
  • Li Kuang
    • 1
    Email author
  1. 1.School of SoftwareCentral South UniversityChangshaChina

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