Invention Grant
- Patent Title: Mixed-initiative machine learning systems and methods for determining segmentations
-
Application No.: US15462675Application Date: 2017-03-17
-
Publication No.: US11042814B2Publication Date: 2021-06-22
- Inventor: Liang Gou , Hao Yang
- Applicant: Visa International Service Association
- Applicant Address: US CA San Francisco
- Assignee: Visa International Service Association
- Current Assignee: Visa International Service Association
- Current Assignee Address: US CA San Francisco
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04 ; G06Q30/02

Abstract:
A computer system can perform a semi-supervised machine learning processes to cluster a plurality of entities within a population based on their features and associated labels. The computer system can generate visualization data representing the clusters of entities and associated labels for displaying on a user interface. A user can review the clustering of entities and use the user interface to add or modify the labels associated with a particular entity or set of entities. The computer system can use the user's feedback to update the labels and then re-determine the clustering of entities using the semi-supervised machine learning process with the updated labels as input. As such, the computer system can use the user's feedback to improve the accuracy of the machine learning model without requiring a larger amount of labeled input data.
Public/Granted literature
- US20180268319A1 MIXED-INITIATIVE MACHINE LEARNING SYSTEMS AND METHODS FOR DETERMINING SEGMENTATIONS Public/Granted day:2018-09-20
Information query