A privacy-preserving collaborative filtering scheme with two-way communication

@inproceedings{Zhang2006APC,
  title={A privacy-preserving collaborative filtering scheme with two-way communication},
  author={Sheng Zhang and James Ford and Fillia Makedon},
  booktitle={EC},
  year={2006}
}
An important security concern with traditional recommendation systems is that users disclose information that may compromise their individual privacy when providing ratings. A randomization approach has been proposed to disguise user ratings while still producing accurate recommendations. However, recent research has suggested that a significant amount of original private information can be derived from perturbed data in a randomization scheme. We suggest that a main limitation of the existing… CONTINUE READING

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