摘要
标签标志着在web2.0时代用户从被动的消费者变为主动的信息创造者,用户可以自由的在网络上创建和使用代表自己意愿的任意标签。如何基于标签进行个性化的信息推荐是目前许多学者关注的一个问题,本文共总结了三类基于标签的个性化信息推荐模型:基于图论、基于矩阵和基于主题的模型,然后提出现有模型的缺陷及未来急需解决的问题。
The tag marks that the user becomes from passive consumers into active information creator in the era of web2.0, the user can freely create and use any tags which represent their will on the network. How to recommend personalized information based on tags for everyone is the focus that many scholars pay attention to, this paper has summarized three categories about the information recommendation model based on label： graph theory-based, matrix-based, and topic-based, and then puts forward the defects of the existing model and the problem solved in the future.
出处
《情报科学》
CSSCI
北大核心
2013年第4期24-27,共4页
Information Science
关键词
信息推荐
个性化
社会化标签
information recommendation
personalized
social tag
