面向情境兴趣的文本信息过滤系统  

Situational Interest Oriented Text Information Filtering System

作　　者：宗胜[1] 徐博艺[2] 

机构地区：[1]上海交通大学软件学院,上海200240 [2]上海交通大学安泰经济与管理学院,上海200052

出　　处：《情报科学》2007年第7期1085-1088,共4页Information Science

基　　金：国家自然科学基金(70471024)

摘　　要：随着对信息过滤技术研究的深入和展开,信息过滤系统的推荐质量不断得到提高。但长期以来文本信息过滤系统都是用来推荐符合用户长期兴趣的信息,而忽略了用户对短期突发信息的需求。针对这种情况,本文提出了面向个人情境兴趣的文本信息过滤系统。模拟实验显示,这种过滤系统可以更好的适用用户信息需求快速变化的情况。With the developing of the technology for information filtering, the recommendation precision of a filtering system has been improved largely. However, information filtering system just provides users with text information which accord with personal long-time interest so far. The information demand is neglected which correlates with user＇ s short-time interest. In order to dealing with the problem, this paper presents a text information filtering system which orients situational interest. The simulation experiment shows that the new IFS can fit better the circumstance which user changes his/her information profile frequently.

关 键 词：信息过滤 基于内容的过滤 情境兴趣 用户偏好 

分 类 号：G350[文化科学—情报学]