计算机应用研究2011，Vol.28Issue(8)：2971-2973,3.DOI:10.3969/j.issn.1001-3695.2011.08.047
标签模糊和冗余在标签推荐中的研究及应用
Research and application of tag recommendation based ambiguity and redundancy on tag
张新伦 1苏一丹 1覃希2
作者信息
- 1. 广西大学计算机与电子信息学院,南宁530004
- 2. 广西工学院计算机工程系,广西柳州545006
- 折叠
摘要
Abstract
The tag recommendation algorithm of Folksonomy tag recommendation system does not consider the trouble of ambiguity and redundancy on tag, these tags can introduce erroneous features into the user profile and hamper the effort to judge recommendations as well in Folksonomy, reduce the system' s recommended quality and burden the user with additional effort by selecting their preferred items. So this paper applied ambiguity and redundancy on tag to the tag recommendation algorithm which solved the above problems, improved the recommended quality, and provided a more reasonable evaluation. The results show that the recommended quality of tag recommendation system significantly improved when applied ambiguity and redundancy on tag to recommendation algorithm.关键词
标签推荐系统/标签模糊/标签冗余/标签推荐算法/推荐质量Key words
tag recommendation system/ tag ambiguity/ tag redundancy/ tag recommendation algorithm/ recommended quality分类
信息技术与安全科学引用本文复制引用
张新伦,苏一丹,覃希..标签模糊和冗余在标签推荐中的研究及应用[J].计算机应用研究,2011,28(8):2971-2973,3.
