NDLI: Dynamic pages sequencing strategy

Content Provider	IEEE Xplore Digital Library
Author	Wang Guo-shun
Copyright Year	2011
Description	Author affiliation: The College of computer science and technology China University of Mining and Technology, CUMT Xu Zhou, China (Wang Guo-shun)
Abstract	This paper takes search engines as the research object. By analyzed the popular search engines, this paper raise a new strategy. Popular search engines just passively accept user information. When search engines receive information from users, it returns page information to users from database. Once accept user information and return information, search engines complete the basic task. Search engines do not consider that the user's information is not accuracy and is dynamic. This paper base on the idea that the user exchange information with the search engines constantly. Search engines should track users to get useful information of user. The goal of collecting information is to update the database. This paper has analyzed the development of the search engine technology, and brought out the search engine research based on intelligent Agent. The author introduces a sort of new search engine model based on AI technology.
Starting Page	591
Ending Page	593
File Size	207709
Page Count	3
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation database Databases search engine correlation coefficient ranking algorithm
Content Type	Text
Resource Type	Article

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