Heimdall: A Privacy-Respecting Implicit Preference Collection Framework

@inproceedings{Rahmati2017HeimdallAP,
  title={Heimdall: A Privacy-Respecting Implicit Preference Collection Framework},
  author={Amir Rahmati and Earlence Fernandes and Kevin Eykholt and Xinheng Chen and Atul Prakash},
  booktitle={MobiSys},
  year={2017}
}
Many of the everyday decisions a user makes rely on the suggestions of online recommendation systems. These systems amass implicit (e.g.,location, purchase history, browsing history) and explicit (e.g.,reviews, ratings) feedback from multiple users, produce a general consensus, and provide suggestions based on that consensus. However, due to privacy… CONTINUE READING