World Search Engine IQ Test Based on the Internet IQ Evaluation Algorithms
Feng Liu,
Yong Shi () and
Bo Wang
Additional contact information
Feng Liu: School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
Yong Shi: Research Center on Fictitious Economy and Data Science, The Chinese Academy of Sciences, Beijing 100190, China;
Bo Wang: Research Center on Fictitious Economy and Data Science, The Chinese Academy of Sciences, Beijing 100190, China;
International Journal of Information Technology & Decision Making (IJITDM), 2015, vol. 14, issue 02, 221-237
Abstract:
With increasing concern about Internet intelligence, this paper proposes concepts of the Internet and Internet subsystem IQs over search engines. Based on human IQ calculations, the paper first establishes a 2014 Internet Intelligence Scale and designs an intelligence test bank regarding search engines. Then, an intelligence test using such test bank is carried out on 50 typical search engines from 25 countries and regions across the world. Meanwhile, another intelligence test is also conducted in the human age groups of 6, 12 and 18 years using the same test bank and rules. Next, the absolute IQ and the relative IQ of the 53 test subjects are calculated in accordance with the test results. Finally, the data mining method is applied to find out the features of search engines reflected in the Internet intelligence test and the intelligence difference between search engines and human beings.
Keywords: Search engine; absolute IQ; deviation IQ; clustering; classification (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622015500030
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:14:y:2015:i:02:n:s0219622015500030
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219622015500030
Access Statistics for this article
International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi
More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().