Privacy-preserving collaborative filtering schemes

Hiroaki Kikuchi, Hiroyasu Kizawa, Minako Tada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - International Conference on Availability, Reliability and Security, ARES 2009
Pages911-916
Number of pages6
DOIs
Publication statusPublished - 16 Oct 2009
EventInternational Conference on Availability, Reliability and Security, ARES 2009 - Fukuoka, Fukuoka Prefecture, Japan
Duration: 16 Mar 200919 Mar 2009

Publication series

NameProceedings - International Conference on Availability, Reliability and Security, ARES 2009

Conference

ConferenceInternational Conference on Availability, Reliability and Security, ARES 2009
CountryJapan
CityFukuoka, Fukuoka Prefecture
Period16/03/0919/03/09

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Kikuchi, H., Kizawa, H., & Tada, M. (2009). Privacy-preserving collaborative filtering schemes. In Proceedings - International Conference on Availability, Reliability and Security, ARES 2009 (pp. 911-916). [5066586] (Proceedings - International Conference on Availability, Reliability and Security, ARES 2009). https://doi.org/10.1109/ARES.2009.148