Privacy in Recommender Systems

@inproceedings{Jeckmans2013PrivacyIR,
  title={Privacy in Recommender Systems},
  author={Arjan J. P. Jeckmans and Michael Beye and Zekeriya Erkin and Pieter H. Hartel and Reginald L. Lagendijk and Qiang Tang},
  booktitle={Social Media Retrieval},
  year={2013}
}
In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help people find entertaining movies, boost sales through targeted advertisements, or help social network users meet new friends. To generate accurate personalized recommendations, recommender systems rely on detailed personal data on the preferences of users… CONTINUE READING
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