Digital currency incentive product distribution method and device, and electronic device

By collecting and analyzing users' historical interaction information, and using feature fusion and evaluation models to predict travel probabilities, a precise digital currency incentive product distribution strategy is generated. This solves the problem of low efficiency under static rules and improves the conversion rate and user satisfaction of digital currency usage.

CN122114903APending Publication Date: 2026-05-29TRAVELSKY TECHNOLOGY LIMITED
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TRAVELSKY TECHNOLOGY LIMITED
Filing Date
2026-01-19
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing methods for distributing digital currency incentive products based on static rules and manual screening are inefficient, resulting in low accuracy, significant resource waste, and difficulty in achieving precise distribution.

Method used

By collecting historical interaction information of target users, extracting flight features, temporal location features and time interval features of interactive operations, performing feature fusion, constructing a time relationship matrix, and using an evaluation model to predict the probability distribution of user travel, a precise digital currency incentive product distribution strategy is generated.

Benefits of technology

It enabled precise targeting of digital currency incentive products, improved usage conversion rates, enhanced user experience and satisfaction, and promoted the popularization of digital currency.

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Abstract

The application discloses a kind of digital currency incentive product's delivery method and its device, electronic equipment, it is related to artificial intelligence field or other related fields, wherein, the method comprises: the historical interaction information of target user is collected, and historical interaction information is preprocessed;Based on the financial feature extraction of historical interaction information after preprocessing, obtain fusion feature vector;The time interval of any two interaction operations is calculated, and the time relationship matrix of interaction operation is constructed based on the time interval of any two interaction operations;Fusion feature vector and time relationship matrix are input into evaluation model, and the travel probability distribution of user is output by evaluation model;Based on travel probability distribution, generation strategy of the delivery of digital currency incentive product for target user is generated.The application solves the technical problem that the accuracy is relatively low in the related art based on the mode of static rule and manual screening for the delivery of digital currency incentive product.
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