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.