Payment service pushing method, electronic device and computer readable storage medium
By collecting and processing user motion state sequences in electronic devices and utilizing a payment intent prediction model, the problem of inaccurate payment service card push in existing technologies has been solved, achieving more accurate payment service push.
CN119741015BActive Publication Date: 2026-06-12HONOR DEVICE CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HONOR DEVICE CO LTD
- Filing Date
- 2023-09-22
- Publication Date
- 2026-06-12
AI Technical Summary
⚠Technical Problem
Existing methods for pushing electronic payment services lack accuracy, especially when pushing at fixed times or locations, which can easily lead to erroneous or premature pushes.
⚗Method used
By collecting the motion state sequence of users holding electronic devices, performing feature processing, and inputting it into the payment intent prediction model, the system predicts whether the user has a payment intention and pushes a payment service card upon confirmation.
🎯Benefits of technology
It improves the accuracy of payment service card push notifications, ensuring accurate delivery when users need them, and reducing unnecessary resource consumption and power consumption.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN119741015B_ABST
Abstract
The application relates to the technical field of artificial intelligence, and provides a payment service pushing method, an electronic device and a computer readable storage medium, which comprises the following steps: an electronic device continuously collects a motion state of a user holding the electronic device from a preset time period before a payment behavior prediction time, and then, in response to a prediction trigger event, a motion state sequence of the user within a preset time period before the prediction trigger event is acquired; the electronic device performs feature processing on the motion state sequence to obtain a motion state feature vector; finally, the motion state feature vector is input into a payment intention prediction model to obtain a prediction result of whether the user has a payment intention; and if the prediction result indicates that the user has a payment intention, the electronic device pushes a payment service card. Therefore, the method can improve the accuracy of pushing the payment service card by pushing the payment service card after determining that the user has a payment intention based on the regular motion of the user before the payment behavior.
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