【摘要】 文中提出了一个面向 Ｉｎｔｅｒｎｅｔ的个性化智能信息检索系统，该系统的研究内容属目前智能信息检索领域的重要研究课题．系统采用分布式智能体 Ａｇｅｎｔ 技术、相关反馈学习算法和基于多用户个性化模式的层次智能信息滤波算法，并采用多模块之间在线交互机制和个性化检索与集中浏览相结合的检索方式等方法，有效地解决了现有系统在交互方式、自适应用户兴趣和信息源的变化、高效并行检索等方面的不足．该系统普遍适用于 Ｉｎｔｅｒｎｅｔ、电子商务等分布式系统中的信息检索，具有理论价值和应用价值更多还原

【Abstract】 This paper describes the architecture of a personalized intelligent information retrieval system for Internet. The algorithms, which complement the system, are key problems in the intelligent information retrieval domain. The system is implemented using the distributed software agent techniques, the relevant feedback approach, and the multilevel approach to intelligent information filtering based on the personalized models of multi user. Also used are the online collaboration among the multi models and the retrieval methods combined customized searching with browsing query. Compared with the systems, mentioned in the references, this system has the features of adjusting to shifting user’s interests and changing source adaptively, as well as in intelligently searching good results. The results show that this system generally can be used in the electronic business and information retrieval in Internet and have high significance in theories and applications.更多还原