Title: A novel method for user relationship measuring in social networks

Authors: Jie Wang; Chonghuan Xu

Addresses: Zhejiang Technical Institute of Economics, Hangzhou, Zhejiang Province, China; Business Administration College, Zhejiang Gongshang University, Hangzhou City, China ' Business Administration College, Zhejiang Gongshang University, Hangzhou City, China

Abstract: 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.

Keywords: online social networks; user relationship; direct relationship; indirect relationship.

DOI: 10.1504/IJWMC.2019.099864

International Journal of Wireless and Mobile Computing, 2019 Vol.16 No.3, pp.259 - 263

Received: 18 Oct 2018
Accepted: 30 Oct 2018
Published online: 24 May 2019 *

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