Digital advertisement putting scheme management method based on big data and artificial intelligence

A technology of advertising and artificial intelligence, applied in marketing and other directions, can solve the problems of low accuracy of judgment results, consumption of human resources, and long time consumption, so as to avoid waste of human resources, avoid low advertising revenue, and increase revenue Effect

Pending Publication Date: 2022-04-15
徐新妹
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, on the one hand, the quality of the artificially formulated advertising delivery plan will be affected by the knowledge level, experience l

Method used

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  • Digital advertisement putting scheme management method based on big data and artificial intelligence

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[0029] In order to make the objects, technical solutions, and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that these descriptions are merely exemplary and are not to limit the scope of the invention. Further, in the following description, a description of the well-known structure and techniques is omitted to avoid unnecessary obscuring the concepts of the present invention.

[0030] The terms used in the present invention are only for the purpose of describing particular embodiments, not intended to limit the invention. "One", "one", "one", "" "and" "" as used in the present invention and the appended claims are also intended to include most forms unless the context clearly represents other meanings. It should also be understood that the terms "and / or" as used herein refer to any or more of any or all possible combinations of one or more associated listing items....

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Abstract

The invention relates to a digital advertisement putting scheme management method based on big data and artificial intelligence, and the method comprises the steps: obtaining a first putting feature and a second putting feature according to an advertisement putting request, carrying out the feature reconstruction of the first putting feature and the second putting feature, and generating a first putting reconstruction feature and a second putting reconstruction feature, and performing linear aggregation on the first delivery reconstruction feature and the second delivery reconstruction feature to generate an advertisement delivery feature. Extracting the characteristics of the advertisement space data of the advertisement space to obtain the advertisement space time sequence characteristics of the advertisement space, and performing time sequence decomposition on the advertisement space time sequence characteristics of the advertisement space to obtain the time sequence characteristics of the advertisement space and a plurality of advertisement space characteristics; and generating an advertisement revenue analysis chart according to the advertisement putting characteristics and the time sequence characteristics and the advertisement position characteristics of each advertisement position, and inputting the advertisement revenue analysis chart into an advertisement putting model to obtain an advertisement putting track characteristic when the advertisement putting revenue is maximum so as to output an advertisement putting scheme.

Description

technical field [0001] The invention relates to the fields of artificial intelligence and digital advertising, in particular to a method for managing digital advertising delivery schemes based on big data and artificial intelligence. Background technique [0002] With the rapid development of the Internet, the number of Internet audiences is increasing, and the form of advertising has also changed from traditional outdoor advertising and TV advertising to digital advertising. In order to help merchants achieve the best effect of advertising, influence the largest number of people and maximize the revenue of advertising under the condition of constant capital budget, the formulation of advertising plan is very important. The advertising delivery plan directly determines the final revenue of advertising delivery. [0003] In the prior art, the formulation of the advertising placement scheme is often done manually. Through the analysis and processing of the information of eac...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 不公告发明人
Owner 徐新妹
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