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Wireless Communications and Mobile Computing
Volume 2018, Article ID 6709607, 11 pages
https://doi.org/10.1155/2018/6709607
Research Article

Group Recommendation Systems Based on External Social-Trust Networks

Kunming University of Science and Technology, Kunming 650051, China

Correspondence should be addressed to Lei Su; moc.liamtoh@14382s

Received 14 February 2018; Accepted 16 April 2018; Published 29 May 2018

Academic Editor: Huimin Lu

Copyright © 2018 Guang Fang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the development of social networks and online mobile communities, group recommendation systems support users’ interaction with similar interests or purposes with others. We often provide some advices to the close friends, such as listening to favorite music and sharing favorite dishes. However, users’ personalities have been ignored by the traditional group recommendation systems while the majority is satisfied. In this paper, a method of group recommendation based on external social-trust networks is proposed, which builds a group profile by analyzing not only users’ preferences, but also the social relationships between members inside and outside of the group. We employ the users’ degree of disagreement to adjust group preference rating by external information of social-trust network. Moreover, having a discussion about different social network utilization ratio, we proposed a method to work for smaller group size. The experimental results show that the proposed method has consistently higher precision and leads to satisfactory recommendations for groups.