典型文献
User friendly preferential private recommendation
文献摘要：
To provide preferential protection for users while keeping good service utility,a preferential private recommendation framework(named as PrefER)is proposed.In this framework,a preferential budget allocation scheme is designed and implemented at the system side to provide multilevel protection.And users'preference is utilized at the user side to improve recommendation performance without increasing users'burden.This framework is generic enough to be employed with other schemes.Recommendation accuracy based on the MovieLens dataset by the collaborative filtering schemes and PrefER are compared and analyzed.The experimental results show that PrefER can provide preferential privacy protection with the improvement of recommendation accuracy.
文献关键词：
中图分类号：
作者姓名：
Yang Jingjing;Guo Yuchun;Feng Tingting;Chen Yishuai
作者机构：
School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;China Unicom Network Technology Research Institute,Beijing 100044,China
文献出处：
引用格式：
[1]Yang Jingjing;Guo Yuchun;Feng Tingting;Chen Yishuai-.User friendly preferential private recommendation)[J].中国邮电高校学报（英文版）,2022(03):43-53
A类：
PrefER
B类：
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AB值：
0.552145
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
