摘要
信息自动推送技术是在网络信息激增的背景下发展起来的。在传统信息推送系统中,用户模板是用加权关键词来表示的,由于没有考虑词之间的潜在关系,造成了系统推送质量的下降,文章设计并实现了一个基于Ontology的个性化推送系统CarInfo,把零散的关键词组织成一个网状结构,提供了一个用户特征的抽象视图,并且半自动的实现了本体的构建,通过实验验证了系统的可行性。
Automatic information push system is developed in the context of proliferating information in the web.In a traditional information pushing system,a user profile is characterized as a set of scattered weighted
出处
《计算机工程与应用》
CSCD
北大核心
2005年第20期176-180,共5页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60373095)
关键词
ONTOLOGY
信息推送
用户模板
兴趣模型
.Owing to not considering the latent relation among words,the quality of the system is weakened.In this paper a new information push system——CarInfo is introduced.It takes the relations among words into account.It can make scattered keywords into a mesh structure so as to provide an abstract view of users' characters.Structuring of ontology is realized semi-automatically.The feasibility of the system is proved by this primary experiments. Keywords: ontology,information pushing,user profile,user interest model
