Preserving privacy in joining recommender systems

Chia Lung Albert Hsieh, Justin Zhan, Deniel Zeng, Feiyue Wang

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

17 Scopus citations

Abstract

In the E-commerce era, recommender system is introduced to share customer experience and comments. At the same time, there is a need for E-commerce entities to join their recommender system databases to enhance the reliability toward prospective customers and also to maximize the precision of target marketing. However, there will be a privacy disclosure hazard while joining recommender system databases. In order to preserve privacy in merging recommender system databases, we design a novel algorithm based on ElGamal scheme of homomorphic encryption.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd International Conference on Information Security and Assurance, ISA 2008
Pages561-566
Number of pages6
DOIs
StatePublished - Sep 15 2008
Event2nd International Conference on Information Security and Assurance, ISA 2008 - Busan, Korea, Republic of
Duration: Apr 24 2008Apr 26 2008

Publication series

NameProceedings of the 2nd International Conference on Information Security and Assurance, ISA 2008

Other

Other2nd International Conference on Information Security and Assurance, ISA 2008
CountryKorea, Republic of
CityBusan
Period4/24/084/26/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Communication

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    Hsieh, C. L. A., Zhan, J., Zeng, D., & Wang, F. (2008). Preserving privacy in joining recommender systems. In Proceedings of the 2nd International Conference on Information Security and Assurance, ISA 2008 (pp. 561-566). [4511628] (Proceedings of the 2nd International Conference on Information Security and Assurance, ISA 2008). https://doi.org/10.1109/ISA.2008.101