公开(公告)号：US20210312465A1

公开(公告)日：2021-10-07

申请号：US17269351

申请日：2020-01-14

Applicant: CHINA UNIONPAY CO., LTD.

Inventor： Xiaonan HOU ,  Yuemin QI ,  Shuo HE ,  Sishuang WAN ,  Xuetao QIU ,  Yang YANG

IPC: G06Q20/40 ,  G06K9/00

Abstract: Transaction processing method, apparatus, device, medium and system are disclosed in the embodiments of the present application. The method includes: acquiring biometric characteristic information of a user; transmitting the biometric characteristic information to a target biometric information server, so that the target biometric information server determines card information of the user according to the biometric characteristic information for feedback; receiving the card information of the user fed back by the target biometric information server; transmitting a transaction request to an authorization server corresponding to the card information, so that the authorization server performs authorization verification on a transaction corresponding to the transaction request; receiving a transaction authorization verification result fed back by the authorization server; and performing the transaction according to the transaction authorization verification result.

公开(公告)号：US20210286835A1

公开(公告)日：2021-09-16

申请号：US17260177

申请日：2019-07-04

Applicant: CHINA UNIONPAY CO., LTD.

Inventor： Yu WANG ,  Xuetao QIU ,  Sishuang WAN ,  Xiaohan SHE ,  Yang WANG ,  Qi ZHANG ,  Zhijun FEI

IPC: G06F16/35 ,  G06F16/36 ,  G06F40/30 ,  G06F40/117

Abstract: A method for matching semantic text data with tags. The method comprises: pre-processing multiple semantic text data to obtain original corpus data comprising multiple semantic independent members; determining the degree of association between any two of the multiple semantic independent members according to a reproduction relationship of the multiple semantic independent members in a natural text, determining a theme corresponding to the association according to the degree of association between any two, and thus determining a mapping probability relationship between the multiple semantic text data and the theme; selecting one of the multiple semantic independent members corresponding to the association as a tag of the theme, and mapping the multiple semantic text data to the tag according to the determined mapping probability relationship between the multiple semantic text data and the theme; and taking the determined mapping relationship between the multiple semantic text data and the tag as a supervision material, and matching the unmapped semantic text data with the tag according to the supervision material.