User-based collaborative filtering recommendation method combining with privacy concerns intensity in mobile commerce

被引：2
作者：
Lu Q. [1 ,2 ]
Guo F. [3 ,4 ]
Zhang R. [5 ]
机构：
[1] School of Cross-Border E-Commerce, Zhejiang International Studies University, Hangzhou, Zhejiang Province
[2] School of Science and Technology, Zhejiang International Studies University, Hangzhou, Zhejiang Province
[3] Modern Business Research Centre, Zhejiang Gongshang University, Hangzhou, Zhejiang Province
[4] Information Technology Department, Zhejiang Institute of Economics and Trade, Hangzhou, Zhejiang Province
[5] College of Business, City University of Hong Kong, Kowloon Tong, Hong Kong
来源：
International Journal of Wireless and Mobile Computing | 2019年 / 17卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Collective filtering; Influence factors of privacy concerns; Online user's preference; Personalised recommendation; Privacy concerns intensity;
D O I：
10.1504/IJWMC.2019.101028
中图分类号：
学科分类号：
摘要：
The existing personalised recommender system gives little consideration to users' privacy concerns in mobile commerce. In order to address this issue and some other shortcomings in item recommendations, the paper proposes a novel user-based collaborative filtering recommendation method combining with privacy concerns intensity and introduces the users' six dimensions privacy concerns factors, such as privacy tendency, internal control point, openness, extroversion, agreeableness, and social group influence. The paper puts forward the metric method of privacy concerns intensity with these privacy concerns influence factors, which are used to obtain the similarity preference of users for collective filtering recommendation. Experiments show that this method has more advantages than other algorithms. More importantly, a combination of subjective privacy concerns and objective recommendation technology can reduce the influence of users' privacy concerns on their acceptance of mobile personalised service. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码：63 / 70
页数：7
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