Pursuing Privacy in Recommender Systems: the Viewof Users and Researchers from Regulations to Applications

被引：8
作者：
Anelli, Vito Walter [1 ]
Belli, Luca [2 ]
Deldjoo, Yashar [1 ]
Di Noia, Tommaso [1 ]
Ferrara, Antonio [1 ]
Narducci, Fedelucio [1 ]
Pomo, Claudio [1 ]
机构：
[1] Polytech Univ Bari, Bari, Italy
[2] Twitter, Bari, FL USA
来源：
15TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS 2021) | 2021年
关键词：
recommender systems; privacy;
D O I：
10.1145/3460231.3473326
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recommender systems (RSs) have widely grown thanks to the outstanding capability of providing users with accurate and tailored recommendations. Recently, public awareness and new regulations forced RS researchers and practitioners to study solutions to user privacy endangerment. This tutorial will guide the attendees through the possible threats and the solutions towards private RSs.
引用
收藏
页码：838 / 841
页数：4
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