公开(公告)号：US12271911B2

公开(公告)日：2025-04-08

申请号：US18689815

申请日：2022-07-29

Applicant: CHINA UNIONPAY CO., LTD.

Inventor： Weiqi Yu ,  Xusen Yang ,  Hua Jiang ,  Lan Liu ,  Sishuang Wan ,  Xiaohan She ,  Xiongyu Wang

IPC: G06F16/2455 ,  G06Q30/018

Abstract: A method, apparatus, device and storage medium for verifying a real store, which belong to the field of data processing. The method includes: acquiring inputted store information of a first store (S101); searching for, based on the store name and the store address of the first store, a first target store name in a first target area in an electronic map (102) searching for, based on the store address of the first store, a real store address database, and the store name of the first store, a second target store name in a second target area in the electronic map (S103) determining, under a condition that the first target store name or the second target store name exists, that the first store is a real store (S104).

公开(公告)号：US11586658B2

公开(公告)日：2023-02-21

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: G06F16/00 ,  G06F16/35 ,  G06F16/36 ,  G06F40/117 ,  G06F40/30

Abstract: A method for matching semantic text data with tags. The method includes: 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.