Title :
A Learning Search Based Intelligent Assistant of Web Browser
Author :
Zhang, Wei ; Wu, Jiamin
Author_Institution :
Neusoft Inst. of Inf., Northeastern Univ., Dalian
Abstract :
This paper describes a learning search based agent that assists a user browsing the World Wide Web (AIAWB, in short ). As a user searches information in the Internet using a Web browser, the agent tracks the user´s behavior and attempts to present advises of where might be better to visit from current position. The agent runs a learning search browsing strategy which is guided by heuristics learned from the user´s past browsing behavior.
Keywords :
Internet; learning (artificial intelligence); online front-ends; software agents; Internet; Web browser; World Wide Web; learning search browsing strategy; learning search-based intelligent assistant; Algorithm design and analysis; IP networks; Intelligent agent; Machine learning; Problem-solving; Search problems; Software agents; Software libraries; State estimation; State-space methods;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1379
