Data analysis system for applying deep neural network to digital marketing

Abstract

The invention relates to a data analysis system for applying a deep neural network to digital marketing, which comprises an advertiser terminal, a data analysis server and a database, and the data analysis server is in communication connection with the advertiser terminal and the database. The data analysis server comprises a feature extraction unit, a feature reconstruction unit and a feature analysis unit which are in communication connection. The advertiser terminal sends an advertisement putting request to the data analysis server. The feature extraction unit obtains a first putting feature and a second putting feature according to an advertisement putting request. The feature reconstruction unit carries out feature reconstruction on the first putting feature and the second putting feature to generate a first putting reconstruction feature and a second putting reconstruction feature, and carries out linear aggregation on the first putting reconstruction feature and the second putting reconstruction feature to generate an advertisement putting feature. The feature analysis unit generates an advertisement revenue analysis chart according to the advertisement putting features.

Description

technical field [0001] The invention relates to the fields of deep neural network and digital marketing, in particular to a data analysis system for applying deep neural network to digital marketing. Background technique [0002] Digital marketing is a commodity marketing activity that uses digital communication channels to promote products and services. It communicates with customers or potential customers in an instant, specific, customized, efficient and low-cost way, in order to achieve efficient marketing effects and improve profitable business. Activity. The current digital marketing of commodities is mainly realized through the Internet, using computer networks to achieve efficient and intensive marketing purposes, and to open up markets and consumption areas. [0003] Advertising is very important in digital marketing. The advertising plan directly determines the final result of digital marketing. A good advertising plan can help businesses achieve the best advertis...

AI Technical Summary

Problems solved by technology

In the prior art, the formulation of the advertisement delivery plan is usually done manually or automatically generated by the server. Manually formulating the advertisement delivery plan not only costs a lot, takes a long time, but also has the problem that the accuracy of the judgment result is not high, while the server automatically generates the advertisement delivery plan. The solution can only analyze the superficial features, ignoring the correlation between features, resulting in inaccurate analysis results, and unable to obtain the best advertising delivery plan

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