电子学报2017，Vol.45Issue(1)：112-118,7.DOI:10.3969/j.issn.0372-2112.2017.01.016
融合标签关联关系与用户社交关系的微博推荐方法
Microblog Recommendation Based on Tag Correlation and User Social Relation
摘要
Abstract
A novel microblog recommendation method combining the tag correlation with the user social relation is proposed via analyzing microblog features and the deficiencies of existing microblog recommendation algorithm.Specifically,we establish a tag retrieval strategy to add tags for unlabeled users and users with few tags,and then build the user-tag matrix and obtain user-tag weights.In order to solve the problem of sparsity of the matrix,we investigate the correlation between the tags to update the user-tag matrix.Considering the significance of user social relation for microblog recommendation,a user-user social relation similarity matrix is constructed and a mechanism is designed to iteratively obtain user interest.Experimental results show that the algorithm is effective in microblog recommendation.关键词
微博推荐/标签检索/用户-标签矩阵/用户标签权重/标签关联关系/用户-用户社交关系相似度矩阵Key words
microblog recommendation/tag retrieval/user-tag matrix/user-tag weight/tag correlation/user-user social relation similarity matrix分类
信息技术与安全科学引用本文复制引用
马慧芳,贾美惠子,张迪,蔺想红..融合标签关联关系与用户社交关系的微博推荐方法[J].电子学报,2017,45(1):112-118,7.基金项目
国家自然科学基金(No.61163039,No.61363058) （No.61163039,No.61363058）
甘肃省科技厅青年基金(No.145RJYA259) （No.145RJYA259）
甘肃省自然科学基金(No.1506RJZA127) （No.1506RJZA127）
中科院智能信息处理重点实验室开放课题(No.IIP2014-4) （No.IIP2014-4）
