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Method and system for privacy protection recommended against contributes scored users based on matrix factorization
Method and system for privacy protection recommended against contributes scored users based on matrix factorization
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机译：基于矩阵分解的针对贡献评分用户推荐的隐私保护方法和系统
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摘要
A method and system for securely generating a recommendation by matrix factorization, without having to learn the contents of any individual record, receive a set of records including a set of pairs and entry token as input a step, to design and evaluate Gaburu circuit based on matrix factorization for a set of records, any person records, or includes a recommendation, without even learning content of any information extracted from the record, at least one One of about a way of privacy protection item, start by generating a recommendation. The system includes: a plurality of users or database represents the record source of; includes three of the party consisting of a recommender system to evaluate the cryptographic service provider and the circuit to design a Gaburu circuit, as a result, have been extracted from the record and the record any of the information is kept secret to the party other than these sources, the recommendation is only known by the requesting party.
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