Research On Intelligent Internet Browsing Assistant Technology Based On Agent

With the increasing quantity of information, it's boring and trivial to find useful items in the gigantic volume of information. Among them, the intelligent Internet browsing assistant technology based on the software Agent and Web mining has become a key research issue, which can provide browsing assistant services for Internet client expediently.This Thesis focuses on how to design and implement an intelligent Internet browsing assistant system based on Agent, whose name is AHBroswer.The AHBroswer system's core is composed of two parts: the analyzer and the adviser. The analyzer makes use of Web mining technology and user's browsing habit to transform the Internet information into structured representation, and then it uses the association rules-based knowledge clustering method and rule combination method to filter association rules and obtain assistant rules. At last the adviser constructs an Internet browsing-assisted agent based on Agent technology, the agent recommends the links according to assistant rules, and becomes the personal browsing assistant.In the last chapter, the thesis evaluates the capability of AHBroswer system in speed and efficiency. The experiment results show that the AHBroswer system has better precision and coverage of recommendation and higher speed, therefore, it is feasible to put this browsing assistant system into practice. And it gives a prospect to forward working.