南京理工大学学报（自然科学版）2018，Vol.42Issue(2)：183-188,6.DOI:10.14177/j.cnki.32-1397n.2018.42.02.008
基于交互链路的相似用户推荐算法
Similar user recommendation algorithm based on interactive link
李颖 1朱保平1
作者信息
- 1. 南京理工大学 计算机科学与工程学院,江苏 南京210094
- 折叠
摘要
Abstract
User recommendation is one of the essential functions of the social software.In view of that most of the user recommendation algorithms find the similar users only from a certain user's followers and attention,ignoring persons who have interaction with the user but do not follow this user,and they just pay attention to the direct interaction among users and do not take the influence of indirect interaction on performance of recommendation into consideration,an effective user recommendation algorithm based on the interactive link is proposed here. By combining similarity of the basic information and the interactive strength between users,the algorithm can recommend similar users. Compared with other methods,the algorithm can expand the range of finding similar users and bring indirect interaction into the calculation of interactive strength under the background of interactive link. Experimental results show that the scheme can discover more similar users.关键词
用户推荐/交互链路/基本信息相似度/交互强度/间接交互Key words
user recommendation/interactive link/similarity of basic information/interactive strength/indirect interaction分类
信息技术与安全科学引用本文复制引用
李颖,朱保平..基于交互链路的相似用户推荐算法[J].南京理工大学学报（自然科学版）,2018,42(2):183-188,6.
