Libraries at University of Nebraska-Lincoln

 

Date of this Version

Summer 7-12-2019

Citation

Arampatzis, A., Efraimidis, P. S & Drosatos, G. (2013). Query scrambler for research privacy on the internet. Information Retrieval, 16(6), 657-679. DOI: 10.1007/s10791-012-9212-1.

Brin, S., S & Page (1998). The Anatomy of Large scale hyper textual web search engines. Proceedings of the Seventh International Conference on World Wide Web, 30(7), 107-117. DOI: 10.1016/SO169-7552 (98)00110-x.

Brinkley, & Bruke, M (1995). Information retrieval from the internet: an evaluation of the tools. Internet Research, 5(3), 3-10. DOI: 10.1108/1066224951014595.

Lewandoski, D. (2011). The retrieval effectiveness of search engines on navigational queries. Aslib proceedings, 63(4), 354-363. DOI: 10.1108/00012531111148949.

Balbantaray, R.C; Swain, M; Sahoo, B.P (2013). Evaluation of web search engines based on ranking results and features. International journal of human computer interaction (IJHCI), vol 4(3), 2013.

Chiou, L., & Tucker, C. (2017). Search Engines and Data Retention: Implications for Privacy and Antitrust

Carrión, J., Puntes, D. F., & Luque, E. (January 01, 2017). Simulating a Search Engine Service focusing on Network Performance. Procedia Computer Science, 108, 79-88.

Catena, M., Tonellotto, N., & Catena, M. (July 01, 2017).Energy-Efficient Query Processing in Web Search Engines IEEE Transactions on Knowledge and Data Engineering, 29(7), 1412-1425.

Egri, G., & Bayrak, C. (2014). The Role of Search Engine Optimization on keeping the User on the Site. Procedia Computer Science, 36, 335-342.

Fagan, J. C. (June 01, 2017). An evidence-based review of academic web search engines, 2014-2016: Implications for librarians' practice and research agenda. Information Technology and Libraries, 36(2), 7-47

Martinez-Sanahuja, L., Sanchez, D., (2016). Proceedings of 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2016. Evaluating the Suitability of Web Search Engines as Proxies for Knowledge Discovery from the Web. Procedia Computer Science, 96, 169-178.

Palanisamy, R. (February 21, 2013). Evaluation of Search Engines: A Conceptual Model and Research Issues. International Journal of Business and Management, 8(6)

Sánchez, D., Martínez-Sanahuja, L., & Batet, M. (2018). Survey and evaluation of web search engine hit counts as research tools in computational linguistics. Information Systems 73, 50-60.

Sánchez, D., Martínez-Sanahuja, L., & Batet, M. (2018). Survey and evaluation of web search engine hit counts as research tools in computational linguistics. Information Systems, 73, 50-60.

Abstract

Purpose: The purpose of the paper is to evaluate the performance and efficiency of the two most used search engines after Google, i.e. Yahoo & Bing in retrieving internet resources at specific points of time using advance search techniques on single and double word queries.

Design/Methodology/Approach: The study starts from an investigation of existing methodologies for evaluating search engines in order to find out the most important factors to decide which search engine to use when searching the World Wide Web. In order to examine retrieval efficiency of a search engine on the bases of various laid parameters like, coverage of a search engine, number of dead, missing & duplicate links retrieved by a search engine by using 20 single & double word queries by adopting advanced search technique. The data were evaluated using MS Excel spread sheet software.

Findings: The findings of study reveals an explicatory results which clearly describes that different web search engines use different technology to find a particular web information. The overall analysis of the findings reveals that Yahoo is the leading search engine followed by Bing in terms of retrieving score, however Bing takes the lead in retrieving less number of dead and duplicate links while routing two term queries.

Originality/value – The paper will provide important insight into the effectiveness of two major search engines and their ability to retrieve relevant internet resources. This paper has produced key findings that are important for all web search engine users as well as researchers and the web industry. The findings will also assist search companies to improve their services.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.