• DocumentCode
    3527936
  • Title

    Rank Fusion of Results from Multiple Search Engines: An Implementation

  • Author

    Agrawal, Rajeev ; Soni, R.

  • Author_Institution
    Dept. of Comput. Sci., BSA Coll. of Eng. & Technol., Mathura, India
  • fYear
    2013
  • fDate
    21-23 Dec. 2013
  • Firstpage
    224
  • Lastpage
    229
  • Abstract
    For the distribution of information related to the wide range of topics the World Wide Web is emerging as an important medium. There are hundreds of millions of pages on the web today and this number is growing exponentially day by day. Looking for something valuable from this ocean of information is quite difficult and this is where rank fusion of results from multiple search engines comes into play. User searches the web in order to retrieve the useful document. A simple web search engines have comparatively small coverage as well as other problem that restrict their capacity to return important documents. The use of multiple searching is the solution for the above problem. It is a tool that sends the queries given by the user to multiple search engines and joins the results that are presented before the user. This improves the coverage and helps in recognizing the power and advantage of different search engines. Present search shows the result in an order that may not be according to the preferences of a particular user. It mostly happens that a URL that the user would like to visit is showing at the last and irrelevant URLs show at very first. In our multiple search engines, several search engines are employed and based on the prior order of clicking the URLs, search results are arranged. This is obtained by assigning weights to different search engines. Thus, a user interface has been implemented in order to provide the ranked results from multiple search engines.
  • Keywords
    Internet; information retrieval; search engines; user interfaces; URL; Web search engines; World Wide Web; information distribution; multiple search engines; ranked results; result rank fusion; user interface; user search; Educational institutions; Engines; Google; Merging; Search engines; Search problems; Web pages; Crawler; Query Processor; Ranking Fusion; Scoring Module;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
  • Conference_Location
    Katra
  • Type

    conf

  • DOI
    10.1109/ICMIRA.2013.49
  • Filename
    6918826