The Application of Ranking Algorithm of Optimization of Web Site

  • Sun JianhuaEmail author
  • Lindeqiang
  • Zhangying
  • Zhushijie
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 139)


About web site optimized, also SEO, people must know, in order to make money, there some companies developed some business to increase the ranks of website. At the beginning of the web site ranking algorithm to see what content for SEO contains: basic ranking knowledge, PR value, search for a page of the basic method, they also provide important procedure source code to read in interfaces and feedback, and web pages inside data flows by the java code, using some tools of SEO, Web address analysis, Web search Html analysis etc. At the same time, to build a website in future, it will provide constructive comments. And all of this should be under the framework of the law.


ranking algorithm hits optimization Page ranking 


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  1. 1.
    Ou, C.: SEO wisdom - search engine optimization and website marketing revolution. Senior Search Marketing StrategistGoogle Scholar
  2. 2.
    Liuzhenpeng, lvning, Zhangguoxu, Zhangyajing, Wangpei: DHT VSM based Web services. elected policy Journal of Guangxi Normal University (natural) 2 (2007)Google Scholar
  3. 3.
    Huangdecai, Qihuachun: Page Rank Algorithm research. Computer Engineering 4 (2006)Google Scholar
  4. 4.
    Lishuchun: Combined with content analysis of Page Rank algorithm. Information 1 (2005)Google Scholar
  5. 5.
    Qihuachun, Huangdecai, Zhengyuefeng: PAGERANK algorithm improved with time feedback. Journal of Zhejiang University of Science 3 (2005)Google Scholar
  6. 6.
    Zhaojiahe: Network based on semantic analysis and application of information acquisition algorithm. Journal of Dalian University of Technology (2006)Google Scholar
  7. 7.
    Liuweiwei: Research and Implementation of Focused crawler search engines. Journal of Nanjing Technology University (2006)Google Scholar
  8. 8.
    Chenjiehui: Search engine ranking algorithm. Haihe University (2007)Google Scholar
  9. 9.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Beijing Union UniversityBeijingChina

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