Advertisement bidding method and device and electronic equipment

By calling the bidding environment prediction model on the advertising delivery platform, and calculating advertising bids based on factors such as user's advertising click-through rate and conversion rate, the problem of waste advertising costs in the existing technology is solved, and more refined advertising delivery costs are achieved.

CN119722193APending Publication Date: 2025-03-28DUXIAOMAN TECH (BEIJING) CO LTD
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Patent Information

Application Number
CN202411781523.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

During the existing advertising bidding process, users in the same quality range have a high degree of distinction, resulting in a waste of advertising delivery costs. How to provide a detailed advertising bidding plan becomes the key.

Method used

The preset instant data request sent by the media platform is received through the preset instant data interface, and the preset bidding environment prediction model is called to calculate the current user's advertising bidding bidding plan. The model uses the preset budget constraint coefficient, the preset cost constraint coefficient, the initial value, the advertising click-through rate and the advertising conversion rate as independent variables, and the current bid is constructed as the dependent variable.

Benefits of technology

The refinement of advertising bidding solutions for different users has been achieved, reducing the additional advertising delivery costs consumed due to the rough partition between users, helping to refine the advertising delivery costs and save advertising delivery costs.

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Abstract

The embodiment of the invention provides an advertisement bidding method and device and electronic equipment, and the method is applied to an advertisement putting platform, and comprises the steps: receiving an instant data request sent by a media platform through a preset instant data interface, determining whether the advertisement bidding of a current user participates or not according to the instant data request, and if yes, executing the step 1; if yes, calling a preset bidding environment prediction model to calculate a bidding scheme of advertisement bidding of the current user, and returning the bidding scheme obtained through calculation to the media platform based on the preset instant data interface. According to the bidding environment prediction model, different advertisement bidding and bidding schemes can be given in real time according to specific operations of different users on advertisements displayed on a media platform, so that different advertisement bidding and bidding schemes can be obtained for different users, user-level advertisement bidding and bidding are achieved, the bidding division interval is finer, and the bidding efficiency is improved. Extra advertisement putting cost consumed due to rough interval division by a user can be reduced, and the advertisement putting cost can be saved.
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