Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques

  title={Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques},
  author={Huseyin Polat and Wenliang Du},
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers based on like-minded customers’ preferences. People use CF systems to cope with information overload. To conduct collaborative filtering, data from customers are needed. However, collecting high quality data from customers is not an easy task because many customers are so concerned about their privacy that they might… CONTINUE READING
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