摘要
为进一步提升标签推荐的质量,提出一种考虑用户当前标注状态的标签推荐方法.首先根据统计分析方法发现社会标签系统中用户使用的标签总数随时间有一定的变化规律,因此提出当前用户标注状态可能属于下列3种情况之一:成长态、成熟态和休眠态,并给出相关定义.然后根据3种用户标注状态的不同特点,提出不同策略下计算标签的概率分布,为用户推荐最可能使用的标签.对比实验表明文中方法能提供更准确的推荐结果.
To improve the quality of tag recommendation, a tag recommendation method considering users current tagging status is proposed. Firstly, the statistical analysis shows the total number of tags used by a user is changed with time in a social tagging system. Then, three tagging statuses are defined, i. e. the growing status, the mature status and the dormant status, and a user current tagging status is one of the above statuses. Finally, according to the characteristics of the current tagging status, different strategies are developed to compute the tag probability distribution to recommend tags to users. Results of comparative experiments show that the proposed method has better accuracy of tag recommendation.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2014年第8期673-682,共10页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.61379114
61272060)
重庆市自然科学基金项目(No.cstc2013jcyjA40063)资助
关键词
社会标签
标签推荐
标注状态
概率分布
Social Tagging Tag Recommendation Tagging Status Probability Distribution