福州大学学报（自然科学版）2017，Vol.45Issue(1)：50-57,8.DOI:10.7631/issn.1000-2243.2017.01.0050
基于用户间影响力及对象间关联关系的社会化推荐
Social recommendation based on user influences and item relations
摘要
Abstract
This paper proposed a social recommendation based on user influences and item relations on follow recommendation of weibo.The method using Bayes method to calculate influences between users and relations between items,and get the user influences matrix and item relations matrix.Then solve the problem by probability matrix factorization.Experimental results show that the proposed method outperforms other methods on recommendation accuracy.关键词
用户间影响力/对象间关联关系/社会化推荐/概率矩阵分解Key words
user influences/item relations/social recommendation/probability matrix factorization分类
信息技术与安全科学引用本文复制引用
庄晓芳,郭红..基于用户间影响力及对象间关联关系的社会化推荐[J].福州大学学报（自然科学版）,2017,45(1):50-57,8.基金项目
国家自然科学基金资助项目(61300104) （61300104）
福建省自然科学基金资助项目(2013J01230) （2013J01230）
