• DocumentCode
    2827774
  • Title

    Algorithms for community subject-identification: experiments and test results

  • Author

    Subramoniam, Deepak ; John, Jyothi

  • Author_Institution
    Model Eng. Coll., Kerala, India
  • fYear
    2004
  • fDate
    28-31 March 2004
  • Firstpage
    195
  • Lastpage
    201
  • Abstract
    We deal with the problem of finding the subject that a given set of pages deals with. The algorithms presented have been designed with a view to provide good results when pages that belong to community (or handle some common topic) are presented to them. When a set of pages are presented, the algorithms return a set of words ordered in the decreasing order of relevance. The words among the first few can be used to identify the topic that the set deals with. The algorithms have been tested by providing them with pages returned from a search engine for a given search query and their performance is assessed based on how high the words used in the search query are placed in the list returned by the algorithm.
  • Keywords
    Internet; Web sites; hypermedia markup languages; query formulation; search engines; Web pages; community subject-identification algorithms; search engine; search query; Algorithm design and analysis; Bipartite graph; Educational institutions; Search engines; Testing; Web pages; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7695-2073-1
  • Type

    conf

  • DOI
    10.1109/EEE.2004.1287309
  • Filename
    1287309