| 摘要 |
Various examples of systems and methods for providing recommendations that can be tailored to a user while preserving the privacy of the user's personal information are disclosed. In various embodiments, user information can be encrypted such that the recommendation service cannot decrypt the user information, yet the recommendation service can analyze the user information to predict user ratings for content items. The predicted user ratings can remain obscured from the recommendation service by encryption, yet can provide the basis for recommendations tailored to the user. In particular, encrypted comparison information of predicted user ratings can be sent to the user, and the user can decrypt the comparison and send result information to the recommender to determine recommendations. |
