Method and device for automatically managing advertisement putting and electronic equipment

Abstract

The invention discloses a method and device for automatically managing advertisement putting and electronic equipment. The method comprises the steps: obtaining the feature data of a plurality of historical advertisement putting and the corresponding actual effect data, enabling the feature data to comprise putting channel data and putting mode data, and enabling the feature data to serve as training data; establishing a machine self-learning model for calculating an advertisement putting effect, and training the machine self-learning model by using the training data; predicting the obtained actual effect of the feature data of the to-be-delivered advertisement, and generating suggestion data; and modifying the feature data of the advertisement to be released according to the suggestion data. Advertisement putting channels and putting modes are obtained from historical advertisement putting to serve as feature data, the actual effect of historical advertisement putting is quantified into effect data, training of a machine self-learning model is carried out, after the feature data of the to-be-put advertisement is input into the model, prediction of the effect data can be achieved,and according to the quality of a prediction result, the advertisement putting effect is improved. Therefore, the characteristic data of the advertisement can be adjusted.

Description

technical field [0001] The present invention relates to the field of computer information processing, in particular to a method, device, electronic equipment and computer-readable medium for automatically managing advertisement delivery. Background technique [0002] As far as the field of Internet advertising is concerned, there are many delivery channels and flexible delivery models, and the rich choices make it difficult for advertisers to determine which delivery channel and delivery model to choose to bring the best delivery effect. At present, advertisers usually rely on artificial analysis of historical advertising experience to select delivery channels and delivery models. Plenty of practical experience has proved that the mode of artificial analysis and control of advertising delivery often invests a lot of resources, but it is difficult to achieve stable and good publicity effects. [0003] Therefore, a new technical solution is needed to automatically select the a...

AI Technical Summary

Problems solved by technology

[0002] For the field of Internet advertising, there are many delivery channels and flexible delivery models, and the rich choices make it difficult for advertisers to determine which delivery channel and delivery model to choose to bring the best delivery effect

At present, advertisers usually rely on artificial analysis of historical advertising experience to select delivery channels and delivery models. Plenty of practical experience has proved that the mode of artificial analysis and control of advertising delivery often invests a lot of resources, but it is difficult to achieve stable and good publicity effects.

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