摘要
为全面了解社会标注行为,帮助用户多样化、个性化地使用资源,首先归纳总结标签增长、标签使用与重用以及标签网络等方面的幂律特性。然后,分析幂律特性的形成原因,并使用拓扑势方法进行描述。最后,讨论幂律特性在标签可视化、自动标注、推荐系统和兴趣挖掘等方面的应用,并提出个性化推荐模型。幂律特性分析可以提高信息的个性化、完善社会标注系统的设计。
Summarizing and analyzing the power law characteristics existed in social tagging systems can help understand the social tagging activities in every aspect and thus help users obtain resources with diversity and personality. In this paper, the power law characteristics of tag increasing, tag usage and tag network in social tagging systems are summarized firstly. Then the forming reasons of the power law are analyzed and the topological potential method is used to describe the social tagging process. Finally, the applications of the power law in tag visualization, automatic tagging, recommendation system and interests mining are discussed, and a personalized recommendation model was proposed. We conclude that analyzing power law characteristics can help provide users personalized information and improve the designs of social tagging systems.
出处
《复杂系统与复杂性科学》
EI
CSCD
北大核心
2014年第2期5-16,共12页
Complex Systems and Complexity Science
基金
国家'973'基金项目(2007CB310800)
国家自然科学基金重点项目(61035004)
关键词
社会标注系统
幂律分布
拓扑势
social tagging systems
power law
topological potential
