摘要
提出了一种基于树状向量空间模型的用户兴趣建模和更新方法,以满足网络消费者个性化的服务需求。根据用户在注册信息中提供的兴趣喜好建立兴趣模型,利用用户的反馈自适应地调整主题特征值向量和阈值,更新用户模型。通过加入时间向量区别短期兴趣和长期兴趣,及时准确地反映用户兴趣变化,提高个性化服务性能。
Proposes a new approach for user modeling and updating based on dendriform vector space model, in order to meet the personalized needs of customers in e - shopping. This profile is initially founded according to user＇ s interest arid modifies the profiles and threshold by user＇s feedback. This profile distinguishes between short- term interest and long- term interest by time vector, which can reflect user＇s interest change in time and offer personal service for better.
出处
《计算机技术与发展》
2009年第5期79-81,85,共4页
Computer Technology and Development
基金
湖南省科技计划基金资助项目(2006JT1040)
关键词
个性化
混合兴趣模型
树状向量空间模型
personalization
hybrid interest model
dendriform vector space model
