• DocumentCode
    3226017
  • Title

    Genetic algorithm for information retrieval

  • Author

    Simon, Philomina ; Sathya, S. Siva

  • Author_Institution
    Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
  • fYear
    2009
  • fDate
    22-24 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Retrieval of relevant documents from a collection is a tedious task. As genetic algorithms (GA) are robust and efficient search and optimization techniques, they can be used to search the huge document search space. In this paper, a general frame work of information retrieval system is discussed. The applicability of genetic algorithms in the field of information retrieval is also discussed. A review on how GA is applied to different problem domains in information retrieval is presented. A study on the similarity measures in information retrieval is also discussed.
  • Keywords
    genetic algorithms; query processing; search engines; document search space; genetic algorithm; information retrieval; Algorithm design and analysis; Computer science; Content based retrieval; Databases; Genetic algorithms; Indexing; Information retrieval; Mathematics; Query processing; Robustness; Document Indexing; Genetic Algorithm; Genetic Mining; Information Retrieval; Match Function Adaptation; Query Formulation; Query Optimization/; Ranking; Web Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-4710-7
  • Type

    conf

  • DOI
    10.1109/IAMA.2009.5228033
  • Filename
    5228033