Learning from What Others Know: Privacy Preserving Cross System Personalization

@inproceedings{Mehta2007LearningFW,
  title={Learning from What Others Know: Privacy Preserving Cross System Personalization},
  author={Bhaskar Mehta},
  booktitle={User Modeling},
  year={2007}
}
Recommender systems have been steadily gaining popularity and has been deployed by several service providers. Large scalable deployment has however highlighted one of the design problems of recommender systems: lack of interoperability. Users today often use multiple electronic systems offering recommendations, which cannot learn from one another. The result is that the end user has to often provide similar information and in some cases disjoint information. Intuitively, it seems that much can… CONTINUE READING
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