Mohammed Abdel Razek

Work place: Development Department, Deanship of Distance Learning, King Abdulaziz University, P.O. Box 80254, Kingdom of Saudi Arabia

E-mail: abdelram@azhar.edu.eg

Website:

Research Interests: Artificial Intelligence, Swarm Intelligence

Biography

Mohammed Abdel Razek holds a Ph.D. in Computer Science - Artificial Intelligence - from the University of Montreal, Canada, in 2004. He has been finished a postdoctoral with Prof. Claude Frasson, PARI project supported by NSERC, Canada. He has more than 40 publication of applying artificial intelligence techniques on e-learning, e-commerce, digital library, and others. In 2006, during his work at Faculty of Science Azhar University, Egypt, he founded the information systems and networks unit. In 2007, he was one of the team work who established 17 e-learning centers at 17 Egyptian universities during his work at National E-learning Center (NELC). By the end of 2007, Dr. Razek was joined the National Authority for Quality Assurance and Accreditation of Education (NAQAAE) and he shared a teamwork to write the e-learning standards. Now, he is working as a consultant for e-learning quality assurance at the deanship of distance learning and a consultant for the Vice President of Development of King Abdulazize University.

Author Articles
Credible Mechanism for More Reliable Search Engine Results

By Mohammed Abdel Razek

DOI: https://doi.org/10.5815/ijitcs.2015.03.02, Pub. Date: 8 Feb. 2015

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.

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