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Evaluation of Web Search Engines Based on Ranking of Results and Features
Rakesh Chandra Balabantary, Monalisa Swain, Bibhuprasad Sahoo
Pages - 117 - 127     |    Revised - 30-10-2013     |    Published - 30-11-2013
Volume - 4   Issue - 3    |    Publication Date - November 2013  Table of Contents
Web Search Engine, Ranking Algorithm, Evaluation of Web Search Engine, Result Relevancy.
Search engines help the user to surf the web. Due to the vast number of web pages it is highly impossible for the user to retrieve the appropriate web page he needs. Thus, Web search ranking algorithms play an important role in ranking web pages so that the user could retrieve the page which is most relevant to the user's query. This paper presents a study of the applicability of two user-effort-sensitive evaluation measures on five Web search engines (Google, Ask, Yahoo, AOL and Bing). Twenty queries were collected from the list of most hit queries in the last year from various search engines and based upon that search engines are evaluated.
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Mr. Rakesh Chandra Balabantary
Department of Computer Science and Engineering, IIIT Bhubaneswar Bhubaneswar-751003 - India
Miss Monalisa Swain
CLIA-II Lab, Department of Computer Science and Engineering, IIIT Bhubaneswar Bhubaneswar-751003 - India
Mr. Bibhuprasad Sahoo
CLIA-II Lab, Department of Computer Science and Engineering, IIIT Bhubaneswar Bhubaneswar-751003 - India