DocumentCode
3241920
Title
Dynamic pages sequencing strategy
Author
Guo-shun, Wang
Author_Institution
Coll. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
fYear
2011
fDate
27-29 May 2011
Firstpage
591
Lastpage
593
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.
Keywords
Internet; information resources; multi-agent systems; search engines; AI technology; Internet; Web; dynamic pages sequencing strategy; information collection; information resources; intelligent agent; return information; search engine model; user information; Correlation; Databases; correlation coefficient; database; ranking algorithm; search engine;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-485-5
Type
conf
DOI
10.1109/ICCSN.2011.6014794
Filename
6014794
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