Search Engines Analysis for Search Result Based on Phrase (Group of Words) as Query Topic
Nripendra Dwivedi1, Ajay Tripathi2, Ashwani Varshney3

1Nripendra Dwivedi,Professor &Associate Dean- Research, Department of Computer Science, IMS, Ghaziabad,Dr Abdul Kalama Technical University Lucknow, (U.P) India.
2Ajay Tripathi is Associate Prof. at Jaipuria Institute Of Management, NCR,Delhi, India.
3Ashwani Varshney is Associate Prof. at Jaipuria Institute Of Management, NCR,Delhi, India.

Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 494-499 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6675068819/19©BEIESP
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Abstract: A huge number of search engines are accessible at the web to fulfill the users’ need based on their query topic. There is a challenge for web users to take decision about the selection of appropriate search engine. Search engines return the quality web documents in proper order decided by their specific ranking algorithm in the searching process of any query string. Web search users are very much interested about the quality outcome of search result. We are considering query topic in form of group of words having some specific meaning. In order to find suitable search engine, a study of four distinct selected search engines (Yahoo, Google, Ask and Bing), decided by the survey of internet users on many distinct queries is done. The parameter for analysis taken into consideration is: “number of web links in search result against given query topic framed with group of words like phrase”. Analysis of variance is used to derive the result in the research process. In this research paper, it is also analyzed that considered search engines are significantly different or not.
Keyword: ANOVA, F Test, Ranking Algorithm, WWW.
Scope of the Article: Predictive Analysis.