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Method and system of privacy protection recommendation based on matrix factorization and ridge regression

机译:基于矩阵分解和岭回归的隐私保护推荐方法和系统

摘要

Method and system for generating a privacy protection recommendations from the first set of users, begin by receiving the first of the record set that contains the token and items as input; matrix factorization with respect to the first set of records the first of garbled circuit design and evaluation on the basis of, the second garbled circuit based on the ridge regression designed and evaluated with respect to the second record from the requesting user, and privacy protection, the recommendation related to at least one of the items produced, the record and the party information is in addition to the source to be extracted from it is placed in the secret, the recommendation is known only by the requesting user. The system includes a cryptographic service provider to design a garbled Circuit, also recommender for evaluating the first circuit. Requesting user evaluates the second circuit, not included in the first set of users.
机译:从第一组用户生成隐私保护建议的方法和系统,首先接收包含令牌和项作为输入的记录集中的第一组;关于第一组记录的矩阵分解,基于第一条乱码设计和评估,第二条乱码电路基于对来自请求用户的第二条记录的岭回归设计和评估,以及隐私保护,除了将要从中提取的来源之外,与所产生的项目,记录和聚会信息中的至少一项有关的推荐被置于秘密中,该推荐仅由发出请求的用户知道。该系统包括一个密码服务提供者,用于设计乱码电路,同时也是用于评估第一个电路的推荐器。请求用户评估第二电路,该电路不包括在第一组用户中。

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