• DocumentCode
    3233078
  • Title

    Improved depth first algorithm and its application in information retrieval

  • Author

    Xiong, Jianbin ; Li, Zhenkun ; Fan, Luqiao ; Liu, Dongping

  • Author_Institution
    Fac. of Comput., Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    With the rapid growth of the network information, how to search the relative information in the web becomes a new challenge. The algorithm of search engine is the key to search on web accurately and rapidly, and the research of search engine algorithm is still a hot issue of Web-search. The standard depth-first algorithm has some insufficient that include dead circulation and low recall-precision. It provides a developed depth-first algorithm to improve the recall-precision and accuracy of search, and use it to search in small and medium-sized websites.
  • Keywords
    Web sites; information retrieval; search engines; Web search; Websites; improved depth first algorithm; information retrieval; network information; recall-precision; search engine; Accuracy; Clustering algorithms; Computer architecture; Engines; World Wide Web; clustering trip; depth-first algorithm; hierarchical clustering; text similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645357
  • Filename
    5645357