公开(公告)号：US20220092578A1

公开(公告)日：2022-03-24

申请号：US17027107

申请日：2020-09-21

申请人： PayPal, Inc.

发明人： Aarti Ashok ,  Michael George McKenna ,  Girish Maheswarappa Halavarthi ,  Joelle Cheng ,  Sine Rix ,  Sung-Yan Lu ,  Gulrez Khan ,  Lucas Welti

IPC分类号： G06Q20/32 ,  G06F9/445 ,  G06F16/9535 ,  G06F40/58 ,  G06Q50/00

摘要： Systems and methods for predicting language dialects for a user to improve a user interface of an application are disclosed. In one embodiment, a system receives a request to determine a default dialect for an application executing on a user device. The system acquires user information corresponding to a user of the user device. Based on the user information and using a clustering algorithm, the system assigns the user to a cluster associated with a dialect. The system provides the dialect to the user device for display in a user interface as part of a sliding scale of selectable dialects of the application such that the dialect is provided as the default dialect for text and other message communications in the application. The system learns from the user's choice of dialect to provide more accurate dialect predictions in the future for other users.

公开(公告)号：US11610192B2

公开(公告)日：2023-03-21

申请号：US17027107

申请日：2020-09-21

申请人： PayPal, Inc.

发明人： Aarti Ashok ,  Michael George McKenna ,  Girish Maheswarappa Halavarthi ,  Joelle Cheng ,  Sine Rix ,  Sung-Yan Lu ,  Gulrez Khan ,  Lucas Welti

IPC分类号： G06Q20/32 ,  G06F9/445 ,  G06Q50/00 ,  G06F40/58 ,  G06F16/9535

摘要： Systems and methods for predicting language dialects for a user to improve a user interface of an application are disclosed. In one embodiment, a system receives a request to determine a default dialect for an application executing on a user device. The system acquires user information corresponding to a user of the user device. Based on the user information and using a clustering algorithm, the system assigns the user to a cluster associated with a dialect. The system provides the dialect to the user device for display in a user interface as part of a sliding scale of selectable dialects of the application such that the dialect is provided as the default dialect for text and other message communications in the application. The system learns from the user's choice of dialect to provide more accurate dialect predictions in the future for other users.