DocumentCode
1924451
Title
Privacy-Preserving Collaborative Filtering Schemes
Author
Kikuchi, Hiroaki ; Kizawa, Hiroyasu ; Tada, Minako
Author_Institution
Sch. of Inf. & Telecommun. Eng., Tokai Univ., Hiratsuka
fYear
2009
fDate
16-19 March 2009
Firstpage
911
Lastpage
916
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ARES.2009.148
Filename
5066586
Link To Document