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基于加权概念网络的用户兴趣建模
引用本文:许欢庆,王永成.基于加权概念网络的用户兴趣建模[J].上海交通大学学报,2004,38(1):34-38.
作者姓名:许欢庆  王永成
作者单位:上海交通大学,计算机科学与工程系,上海,200030
基金项目:国家自然科学基金资助项目(60082003)
摘    要: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.

关 键 词:加权概念网络  用户建模  概念映射
文章编号:1006-2467(2004)01-0034-05
修稿时间:2002年12月22

User Modeling Based on Weighted Concept Network
XU Huan-qing,WANG Yong-cheng.User Modeling Based on Weighted Concept Network[J].Journal of Shanghai Jiaotong University,2004,38(1):34-38.
Authors:XU Huan-qing  WANG Yong-cheng
Abstract: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.
Keywords:weighted concept network(WCN)  user modeling  concept mapping  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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