Business data pushing method and device and server

Abstract

The invention provides a service data pushing method and device and a server. Based on the method, in the field of artificial intelligence, when a server pushes service data to a user object, a customer group type of the user object is determined firstly, and then a prediction sub-model matched with the customer group type in a preset target user prediction model is called to determine whether the user object is a potential target user who can accept the service data, wherein the preset target user prediction model comprises a first prediction sub-model and a second prediction sub-model, the first prediction sub-model is established based on transverse federation learning according to first sample data of a first data party and second sample data of a second data party, and according to the first sample data and the second sample data, the second prediction sub-model is established by the first prediction sub-model based on federal transfer learning. According to the embodiment of the invention, under the condition that the user object is determined to be the target user, the appropriate target business data is pushed to the user object, so that a better pushing effect can be obtained, and the pushing success rate is improved.

Description

technical field [0001] This manual belongs to the field of artificial intelligence technology, and in particular relates to a method, device and server for pushing business data. Background technique [0002] In many business data push scenarios (for example, financial business recommendation scenarios, etc.), it is often difficult to accurately predict whether the user object of the business data to be pushed is a potential target due to the model accuracy of the prediction model used. The target user who accepts the business data. As a result, technical problems such as inaccurate push and poor effect of business data push often exist when pushing business data to user objects based on existing methods. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] This specification provides a method, device and server for pushing business data, so as to accurately determine whether a user object is a target user by us...

AI Technical Summary

Problems solved by technology

[0002] In many business data push scenarios (for example, financial business recommendation scenarios, etc.), limited by the model accuracy of the prediction model used, it is often difficult to accurately predict whether the user object of the business data to be pushed is a potential The target user who accepts the business data

As a result, there are often technical problems such as inaccurate push and poor business data push effect when pushing business data to user objects based on existing methods

[0003] For the above problems, no effective solution has been proposed

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