INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.7, No.3, Feb. 2015

Credible Mechanism for More Reliable Search Engine Results

Full Text (PDF, 380KB), PP.12-17


Views:75   Downloads:4

Author(s)

Mohammed Abdel Razek

Index Terms

Web Search Engine, Credible Web Search, Dominant Meaning, Top-Level Domains

Abstract

The number of websites on the Internet is growing randomly, thanks to HTML language. Consequently, a diversity of information is available on the Web, however, sometimes the content of it may be neither valuable nor trusted. This leads to a problem of a credibility of the existing information on these Websites. This paper investigates aspects affecting on the Websites credibility and then uses them along with dominant meaning of the query for improving information retrieval capabilities and to effectively manage contents. It presents a design and development of a credible mechanism that searches Web search engine and then ranks sites according to its reliability. Our experiments show that the credibility terms on the Websites can affect the ranking of the Web search engine and greatly improves retrieval effectiveness.

Cite This Paper

Mohammed Abdel Razek,"Credible Mechanism for More Reliable Search Engine Results", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.3, pp.12-17, 2015. DOI: 10.5815/ijitcs.2015.03.02

Reference

[1]K. Daisuke, K. Sadao and I., Kentaro (2008) “ Grasping Major Statements and their Contradictions Toward Information Credibility Analysis of Web Contents”, In Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI'08), short paper, pp.393-397, 2008.

[2]B., Hilligoss, & S. Y. Rieh, (2008). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing & Management, 44(4), 1467-1484.

[3]B.J. Fogg, Persuasive Technologies: Using Computers to Change What We Think and Do. San Francisco: Morgan Kaufmann Publishers, 2003.

[4]B.J. Fogg, Jonathan Marshall, Tami Kameda, Joshua Solomon, Akshay Rangnekar, John Boyd, & Bonny Brown "Web Credibility Research: A Method for Online Experiments and Some Early Study Results" Proceedings of ACM CHI 2001 Conference on Human Factors in Computing Systems, v.2. New York: ACM Press.

[5]Y., Kammerer, & P., Gerjets, (2012). How search engine users evaluate and select Web search results: The impact of the search engine interface on credibility assessments. In D. Lewandowski (Ed.), Web Search Engine Research (pp. 251-279).

[6]M. Razek, C. Frasson C., M. Kaltenbach, (2006), Dominant Meaning Approach towards Individualized Web Search for Learning. Environments Advances in Web-Based Education: Personalized Learning Environments edited by George D. Magoulas and Sherry Y. Chen © 2006, Idea Group Inc.

[7]M. Razek, Towards More Efficient Image Web Search. Intelligent Information Management 5.6 (2013).

[8]D., Lewandowski (2012) Credibility in Web Search Engines, Apostel, Shawn; Folk, Moe (eds.): Online Credibility and Digital Ethos: Evaluating Computer-Mediated Communication. Hershey, PA: IGI Global, 2012.

[9]T. Mandl, (2006). Implementation and evaluation of a quality-based search engine. Proceedings of the seventeenth conference on Hypertext and hypermedia (pp. 73–84). New York: ACM.

[10]S. Y., Rieh, (2010). Credibility and cognitive authority of information. Encyclopedia of Library and Information Sciences, Third Edition. Taylor & Francis.

[11]B., Hilligoss, & S. Y. Rieh, (2008). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing & Management, 44(4), 1467-1484.

[12]A. Flannigan, and M. Metzger (2007), “Introduction, in MacArthur 2007”, in Metzger, M. and Flanagin, A. (Eds), Digital Media, Youth, and Credibility, MacArthur Foundation Series on Digital Media and Learning, Chicago.

[13]Google, (2012) "Google Search Appliance Creating the Search Experience" Google Search Appliance software version 7.0, September 2012.

[14]Moz, 2014 "Anatomy of a URL", http://moz.com/learn/seo/url, [last accessed 28 of septamber, 2014]

[15]S.J., Russel, & P.Norvig, (2009). Artificial Intelligence: A Modern Approach. 2nd Ed. Upper Saddle River, NJ: Prentice Hall.