Reference : Recommender Systems and their Security Concerns
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/30100
Recommender Systems and their Security Concerns
English
Wang, Jun mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Tang, Qiang []
Oct-2015
33
Yes
International
iacr
1-10-2015
[en] recommender system ; privacy-preserving
[en] Instead of simply using two-dimensional User × Item features, advanced recommender systems
rely on more additional dimensions (e.g. time, location, social network) in order to provide better recommendation services. In the first part of this paper, we will survey a variety of dimension features and show how they are integrated into the recommendation process. When the service providers collect more and more personal information, it brings great privacy concerns to the public. On another side, the service providers could also suffer from attacks launched by malicious users who want to bias the recommendations. In the second part of this paper, we will survey attacks from and against recommender service providers, and existing solutions.
http://hdl.handle.net/10993/30100

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