摘要
随着INTERNET的发展,人们在获得知识的同时,也更深刻地了解到知识的重要性。而知识的特殊性以及INTERNET中信息的急速增长,使得人们无法容易找到自己所需要的知识。为了实现这一点,我们在构建知识社群的同时,提出该系统的用户模型的表示和更新,以实现对用户的准确定位,向用户推荐适合文本,并利用相关反馈,追踪和更新用户模型,提高服务的效率。
With the growth of internet, as people obtained knowledge they also know the importance of knowledge profoundly. But because of the particularity of knowledge and the explosive growth of information of internet, people can＇t obtain knowledge which they want easily. In order to realize it, this paper brings forward the express and update of user profile while constructed knowledge communities, which orients user nicety and can recommend fit text to user. It also uses correlation feedback to trace and update user profile so as to improve the efficiency of services.
出处
《电脑开发与应用》
2006年第3期12-14,共3页
Computer Development & Applications
基金
国家自然科学基金(NO60472093)
山西省自然科学基金(NO20041043)
山西省归国海外学者科学研究基金(NO200336)
关键词
知识社群
本体
用户模型
相关反馈
knowledge communities, ontology, user profile, correlation feedback
