摘要
个性化信息检索中,设计用户兴趣模型是一个关键问题。通过分析Web环境下用户的特点和浏览行为,提出一种基于层次向量空间模型的用户兴趣建模和更新方法,以满足用户个性化的服务需求。根据用户对页面的浏览速度来计算用户的兴趣度,使模型便于实现,且更新及时、简单。
In the personalization information retrieval, the design of user interest model is a key question. Through analyzing under the Web environment user’s characteristic and the browsing behavior, proposes a new approach for user modeling and updating based on hierarchical vector space model, in order to meet the personalized needs of users. For calculating the user according to the user to page’s browsing speed the interest, makes the model convenient to realize, and renews promptly and simply.
出处
《现代计算机》
2010年第6期16-19,共4页
Modern Computer
基金
江西省科技厅工业攻关项目(赣财教[2005]132号)
江西省教育厅科技计划项目(No.GJJ08283)
关键词
个性化
用户兴趣模型
层次向量空间模型
Personalization
User Interest Model
Hierarchical Vector Space Model
