计算机工程与科学2017，Vol.39Issue(9)：1742-1748,7.DOI:10.3969/j.issn.1007-130X.2017.09.022
一种基于标签概率相关性的微博推荐方法
A microblog recommendation method based on label probability correlation
摘要
Abstract
In order to improve users' experience,it is necessary to recommend valuable and interesting contents for users.We propose a label probability correlation based microblog recommendation method (LPCMR)via analyzing microblog features and the deficiencies of existing microblog recommendation algorithms.Firstly,our method takes advantage of the probability correlation between tags to construct the label similarity matrix.Then the weight of the tag for each user is enhanced based on the relevance weighting scheme,and the user tag matrix is constructed.The matrix is updated using the label similarity matrix,which contains both the user interest information and the relationship between tags.Experimental results show that the algorithm is effective in microblog recommendation.关键词
概率相关性/微博推荐/用户-标签矩阵/标签权重Key words
probability correlation/microblog recommendation/user-label matrix/label weight分类
信息技术与安全科学引用本文复制引用
张迪,马慧芳,贾俊杰,余丽..一种基于标签概率相关性的微博推荐方法[J].计算机工程与科学,2017,39(9):1742-1748,7.基金项目
国家自然科学基金(61163039,61363058) （61163039,61363058）
甘肃省杰出青年基金(1308RJDA007) （1308RJDA007）
甘肃省青年科技基金(145RJYA259,1606RJYA269) （145RJYA259,1606RJYA269）
甘肃省自然科学研究基金(145RJZA232) （145RJZA232）
中国科学院计算技术研究所智能信息处理重点实验室开放基金(IIP2014-4) （IIP2014-4）
