社会化标注系统中基于关联规则的Tag资源聚类研究

Research on Tag Resource Clustering Based on Association Rule in Social Tagging System

运用关联规则挖掘标签间的相互关系,并结合典型的划分聚类算法k-means进行Tag资源自动聚类,从而实现对Tag资源重新组织,为用户提供更好地标签导航和浏览机制。并利用豆瓣网上的实例数据验证了算法的可行性和有效性。

In order to achieve reorganization of the user tags and better tag navigation,browsing mecha nism,we use the association rule to mine the relationships between tags.And then use the typical cluster ing algorithm--k-means,to cluster tag resources automatically,In the end,we use the data from Douban to verify the feasibility and effectiveness of the algorithm.