Tag recommendation method in folksonomy based on user tagging status
Tag recommendation method in folksonomy based on user tagging status
复制标题
Folksonomy中基于用户标签状态的标签推荐方法
DOI：
10.1007/s10844-017-0468-1
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发表时间：
2018-06-01
影响因子：
3.4
通讯作者：
Hu, Feng
中科院分区：
文献类型：
--
作者：
Yu, Hong;Zhou, Bing;Hu, Feng
大众分类法由三个基本实体组成，即用户、标签和资源。这种社交标签系统是索引信息、方便搜索和导航资源的好方法。本文的主要目的是提出一种新的提高标签推荐质量的方法。根据统计分析，我们发现在社交标签系统中，用户使用的标签总数会随着时间的推移而变化。因此，本文引入了用户标注状态的概念，即成长状态、成熟状态和休眠状态。然后，将用户当前的标注状态作为三种标注状态之一，提出了确定用户标注状态的算法。最后，在统计语言模型的基础上，提出了三种相应的策略来计算标签概率分布，以推荐用户最可能使用的标签。实验结果表明，该方法在标签推荐的准确率上优于其他几种推荐方法。
A folksonomy consists of three basic entities, namely users, tags and resources. This kind of social tagging system is a good way to index information, facilitate searches and navigate resources. The main objective of this paper is to present a novel method to improve the quality of tag recommendation. According to the statistical analysis, we find that the total number of tags used by a user changes over time in a social tagging system. Thus, this paper introduces the concept of user tagging status, namely the growing status, the mature status and the dormant status. Then, the determining user tagging status algorithm is presented considering a user’s current tagging status to be one of the three tagging status at one point. Finally, three corresponding strategies are developed to compute the tag probability distribution based on the statistical language model in order to recommend tags most likely to be used by users. Experimental results show that the proposed method is better than the compared methods at the accuracy of tag recommendation.