ERecommend: A Search scheme for encrypted storage supporting association analysis and active recommendation
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The recommendation idea is inspired by the user's search habits and experience, there is a demand that the server should provide active recommendation. However, data encryption makes keywords lose their semantics, which hinders the analysis and recommendation function of the server. In this paper, we study the "search mode" and "access mode" of encrypted data and present a novel ciphertext search model supporting association and recommendation. Specifically, we construct the basic searchable encryption with access control, association analysis and recommendation method in detail. Finally, we conduct an extensive security and performance analysis to ensure ERecommend is secure and feasible.
