基于Agent的个性化智能信息检索系统

Intelligent information retrieval personalized system based on Agent

针对目前信息检索系统存在的不足,首先,在系统地介绍信息检索研究现状的基础上对个性化信息检索的发展、工作原理和现状进行了简要综述,并对Agent技术做了介绍。然后,从现有问题入手,开发设计一个了基于Agent的个性化智能信息检索系统模型。对基于Agent的个性化信息检索系统的基本结构、方法及相关技术进行了研究。该模型由用户信息检索个性Agent、信息搜索Agent和信息过滤Agent三个模块构成,分别对三个模块中的关键技术进行研究。结果表明,该平台可减少搜索范围,加快搜索速度。

To solve the problem of the insufficiency of information retrieval system, firstly the paper has systematically studies on the key technology dealing with the Agent - based personalized active information service and puts forward an Internet information retrieval system model for the agent. The characteristics of personalized information retrieval are discussed, a framework of personalizing information retrieval system is presented. The system consists of three parts, which are user Agent, information search Agent and information filtering Agent. The three models are studied separately. The result shows that this platform can reduce the range of searching and increase the speed of searching.