A Learning Search Based Intelligent Assistant of Web Browser

摘要：

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 users 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 users past browsing behavior.

关键词： browsing assistant learning search machine learning data mining

作者: Wei Zhang Jiamin Wu

作者单位: Neusoft Institute of Information Northeastern University Dalian, P.R.China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）