基于加权概念网络的用户兴趣建模

User Modeling Based on Weighted Concept Network

提出了一种基于加权概念网络(WCN)的用户兴趣建模方法,该方法利用动态学习算法,挖掘蕴含在用户反馈文档中的概念及其概念关系,建立WCN的用户模型,从而捕捉和表述用户兴趣偏好.基于WCN用户兴趣模型,提出了检索提问个性化理解以及文档个性化重评价的实现方法.为了检验提出方法的建模性能,设计了信息过滤仿真试验.测试结果表明,WCN有较好的用户建模性能.

This paper proposed a new approach for user modeling based on weighted concept network (WCN), which presents user's preference using concepts and concept relations implied in documents proposed by the user's relevance feedback. An incremental learning mechanism was applied to structure the WCN for user's interests. The personalized query expansion and ranking algorithm based on WCN were implemented. The simulated experiment about information filtering was designed. The experimental results indicate that this approach has better performance in user modeling.