Preserving Privacy in Joining Recommender Systems

@article{Hsieh2008PreservingPI,
  title={Preserving Privacy in Joining Recommender Systems},
  author={C.-L.A. Hsieh and Justin Zhan and Dezhe Zeng and Feiyue Wang},
  journal={2008 International Conference on Information Security and Assurance (isa 2008)},
  year={2008},
  pages={561-566}
}
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… CONTINUE READING