摘要
提出一种基于Agent的Internet信息检索系统模型。该系统由用户Agent、信息搜索Agent、信息过滤Agent三个模块构成。通过用户信息需求的表达和信息反馈,形成并训练用户Agent;信息搜索Agent与Internet搜索引擎连接,采用有限深度-广度优先的搜索算法,减少搜索范围,加快搜索速度;信息过滤Agent根据用户已有的信息资源分析用户喜好,采用向量空间法进行信息过滤。三个模块密切协作,实现网上信息的个性化、主动性、智能性检索。
The system consists of three model cubes, users Agent, information search Agent and information filtrating Agent. It forms and trains the users Agent through the expression demanded by the users information and information feedback. The information search Agent through inquiry agent connects Internet search engine. The search algorithm starts its searching from the recalls of inquiry agent to reduce the range of searching and increases the speed of searching. According to the user ready-made information resources, information filtering Agent analyses the user＇s favorite and adopts vector space method to carry out the personalized information filter. It designs the entire structure of intelligent Agent to ensure the close cooperation of the three models so that the information retrieval can be fully realized personally, activly and intelligently.
出处
《黑龙江工程学院学报》
CAS
2006年第2期37-40,共4页
Journal of Heilongjiang Institute of Technology
关键词
AGENT
信息检索
智能检索
Agent
information retrieval
intelligent retrieval
