A novel method for user relationship measuring in social networks

被引：0
|
作者：
Wang J. [1 ,2 ]
Xu C. [2 ]
机构：
[1] Zhejiang Technical Institute of Economics, Hangzhou, Zhejiang Province
[2] Business Administration College, Zhejiang Gongshang University, Hangzhou City
来源：
International Journal of Wireless and Mobile Computing | 2019年 / 16卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Direct relationship; Indirect relationship; Online social networks; User relationship;
D O I：
10.1504/IJWMC.2019.099864
中图分类号：
学科分类号：
摘要：
Recommender systems are widely used to provide users with appropriate items and have emerged in response to the problem of information overload. The measuring method of user relationship in social networks is the core of personalised recommendation. To a certain extent, the measuring quality of users' relationship determines the accuracy of recommendation results. In this paper, we design a new measuring method of user relationship which considers direct and indirect relationships among users. The experimental results on two famous microblog data sets show that the presented algorithm is of high performance. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码：259 / 263
页数：4
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