Privacy-Preserving Collaborative Filtering Schemes

被引：14
|
作者：
Kikuchi, Hiroaki [1 ]
Kizawa, Hiroyasu [1 ]
Tada, Minako [1 ]
机构：
[1] Tokai Univ, Sch Informat & Telecommun Engn, Kanagawa 2591292, Japan
来源：
2009 INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY, AND SECURITY (ARES), VOLS 1 AND 2 | 2009年
关键词：
D O I：
10.1109/ARES.2009.148
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The privacy-preserving recommendation system enables us to evaluate the recommended value without leaking the private information of users to service providers. The large overhead in performing cryptographical operations in proportion to the number of users and the number of items is the current issue. In this article, we propose some efficient schemes reducing the preference matrix of the sets of items and users.
引用
收藏
页码：911 / 916
页数：6
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