• DocumentCode
    2344033
  • Title

    Search Engine Results Improvement -- A Review

  • Author

    Agrawal, Hina ; Yadav, Sunita

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Ajay Kumar Garg Eng. Coll., Ghaziabad, India
  • fYear
    2015
  • fDate
    13-14 Feb. 2015
  • Firstpage
    180
  • Lastpage
    185
  • Abstract
    Search engines return SERP which contains results to the user query which may be relevant or irrelevant. Some of the results which are not relevant are the matter of great dissatisfaction to the user who queried the Web to look forward for the desired answer. As the WWW is the huge repository of information so there is a necessity of an intuitive approach that can navigate, filter, summarize and manage such a large collection of data. Hence, diverse approaches have been used to optimize search engine results according to users´ need. Our objective is to present different approaches used by various researchers to optimize results which are helpful in maximizing the user satisfaction.
  • Keywords
    Internet; query processing; search engines; SERP; WWW; Web; search engine results improvement; user need; user query; user satisfaction; Clustering algorithms; Engines; Google; History; Search engines; Semantics; Vectors; Document Clustering; Information Retrieval; Search Engine; Semantic; Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4799-6022-4
  • Type

    conf

  • DOI
    10.1109/CICT.2015.94
  • Filename
    7078691