基于特征选择的自适应信息过滤研究  

Information Filtering by Adaptive User Profiles with Feature Selection

作　　者：马玉春[1] 孙冰[2] 

机构地区：[1]东北大学秦皇岛分校计算机工程系,秦皇岛066004 [2]东北大学秦皇岛分校网络中心,秦皇岛066004

出　　处：《计算机工程》2006年第5期172-174,共3页Computer Engineering

摘　　要：提出了一种新的、基于用户反馈的、构建用户模板的方法,它不同于传统的方法将用户兴趣当作单模板来处理。引入了特征选择技术,能够对用户模板进行动态调整,并构建了自适应的单模板和多模板系统,能够更准确地表示用户兴趣和定位相关信息。This paper proposes a new approach for constructing user profiles based on user feedback. In contrast to earlier approaches, which typically represents profiles as a single weighted interest vector, it represents user profiles as a single integrated vector and a multiple interest vectors, and takes feature selection into the system to reach higher performance. This flexible approach allows the profile to more accurately represent complex user interests and faster to locate for information of interest.

关 键 词：信息过滤 自适应 用户模板 特征选择 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]