Title :
Privacy-Preserving Collaborative Filtering Schemes
Author :
Kikuchi, Hiroaki ; Kizawa, Hiroyasu ; Tada, Minako
Author_Institution :
Sch. of Inf. & Telecommun. Eng., Tokai Univ., Hiratsuka
Abstract :
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.
Keywords :
cryptographic protocols; data privacy; groupware; information filtering; matrix algebra; pattern clustering; public key cryptography; set theory; collaborative filtering algorithm; cryptographical protocol; item clustering; matrix; privacy-preserving recommendation system; public-key algorithm; subset theory; Availability; Clustering algorithms; Collaboration; Databases; Information filtering; Information filters; Partitioning algorithms; Privacy; Public key; Public key cryptography; Collaborative Filtering; Privacy-preserving;
Conference_Titel :
Availability, Reliability and Security, 2009. ARES '09. International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-3572-2
Electronic_ISBN :
978-0-7695-3564-7
DOI :
10.1109/ARES.2009.148
