【摘要】 目前因特网上的信息越来越丰富,内容越来越广泛,已成为最重要的信息源.帮助用户快速、准确地查找网上有用的信息,具有广泛的应用背景和实用价值,已经成为近年来的研究热点.本文的研究目的是利用Agent技术感知用户在浏览器上的行为,进一步精确描述用户的兴趣或动态跟踪用户兴趣的改变,并根据用户兴趣对网页进行分析,过滤出用户感兴趣的信息,实现用户的个性化信息过滤要求.更多还原

【Abstract】 With the phenomenon growth of the Web,it is increasingly becoming the single most important source of information.Retrieval and classify useful information from the Web has been an important application ever since the beginning of the Web,which has become the research focus in these years.The goal of the paper is to use Agent technique sense the user’s conduct on the browser in order to track the change of user’s interesting and analyze Web pages according to user’s profile,then filter the information which the user is interested in.So the user’s characteristic information filtration can be attained.更多还原