An algorithm for efficient privacy-preserving item-based collaborative filtering
We propose an efficient privacy-preserving item-based collaborative filtering method. We propose an unsynchronized protocol to achieve secure multi-party computation. We propose two incremental privacy-preserving item similarity computation methods. The privacy preservation property of the proposed method is formally proved. The proposed method is more efficient and accurate than two well-known methods.
efficiency item-based collaborative filtering privacy