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1.发明授权公开(公告)号：US12118108B2
公开(公告)日：2024-10-15
申请号：US17528204
申请日：2021-11-17
发明人： Zilin Song
CPC分类号： G06F21/6218 , G06F21/42 , H04L51/42
摘要： A business official email box based B2B service security verification method, includes: a service platform receiving an employee account and a password inputted by a business employee, and verifying whether the employee account and the password are legal or not; if yes, transmitting a log-in verification code to a business official email box to which the employee account corresponds; the service platform receiving a verification code inputted by the business employee, and determining whether the verification code is the log-in verification code or not; and if yes, the employee account successfully logging in the service platform. The present invention uses the association between the business employee and the business official email box in order to verify the identity of the business employee by means of the business official email box, and effectively prevent a resigned employee from logging in the service platform to improve the security of the platform.
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公开(公告)号：US12093291B2
公开(公告)日：2024-09-17
申请号：US17553858
申请日：2021-12-17
发明人： Zilin Song
IPC分类号： G06F16/332 , G06F16/33 , G06F16/338
CPC分类号： G06F16/332 , G06F16/3344 , G06F16/338
摘要： The present invention relates to a long-tail keyword identification method, a keyword search method, and a computer apparatus. The long-tail keyword identification method includes: S101, receiving a search keyword, and identifying the number of atomic keywords included in the search keyword by means of a historical lexical database, wherein the historical lexical database comprises multiple atomic keywords and a weight value of each of the atomic keywords; and S102, if the search keyword comprises at least two atomic keywords, treating the search keyword as a combined keyword, and calculating a long-tail weight value for the combined keyword according to the weight values of all the atomic keywords in the combined keyword. The present invention effectively identifies a long-tail keyword, and calculates a long-tail weight value of the long-tail keyword, enhancing the accuracy of hitting a target in a searching process.
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