Privacy-preserving collaborative recommendations based on random perturbations
(2016)
Journal Article
Polatidis, N., Georgiadis, C. K., Pimenidis, E., & Mouratidis, H. (2017). Privacy-preserving collaborative recommendations based on random perturbations. Expert Systems with Applications, 71, 18-25. https://doi.org/10.1016/j.eswa.2016.11.018
© 2016 Elsevier Ltd Collaborative recommender systems offer a solution to the information overload problem found in online environments such as e-commerce. The use of collaborative filtering, the most widely used recommendation method, gives rise to... Read More about Privacy-preserving collaborative recommendations based on random perturbations.