【摘要】 为了从网络动态信息流中获得感兴趣的内容或过滤掉无关的垃圾信息,设计了一个基于向量空间模型的自适应信息过滤系统;描述了该系统的结构和工作流程;对该系统实现的关键技术,包括文本表示、用户模板与过滤阈值初始化、特征项选取、自适应过滤算法、模板更新和阈值调整等进行了深入的分析和研究。更多还原

【Abstract】 In order to track favorite topics and eliminate garbage content from dynamic network information stream,an adaptive information filtering system based on vector space model is designed.The system structure and work flow are described,and the key techniques for the system,including the text expression,user profiles and filtering thresholds initialization,features selection,adaptive filtering algorithm,profiles updating and thresholds adjustment,etc.,are analyzed and researched deeply.更多还原