An Approach For Evaluation Of Semantic Performance Of Search Engines: Google, Yahoo, Msn And Hakia

ABSTRACT<br /> Ten queries of different subjects were run over yahoo, Google, Msn and Hakia search engines. Second set of experiment comprise four phrases of the same meaning but different syntax were attached to each query and the combinations were run over Hakia search engine. Four thousand retrieved documents were classified as relevant, duplicate different source, non – relevant, duplicate same source and inaccessible documents. Calculation of relative precision of the two sets of data, show maximum relative precision for Hakia search engine followed by exchange places search engines of Yahoo and Google, where the lowest relevant precision is shown by Msn. For the second set of data, phrase “information about“ with query shown maximum relevant precision followed by phrase “what is“ where as phrase “description of“ and “definition“ show lowest relevant precision. Comparison of web document retrieval performance were accounted for in the discussion.