An intelligent push management system for Internet advertisements based on cloud computing and deep learning behavior

Abstract

The invention discloses an Internet advertisement intelligent push management system based on cloud computing and deep learning behavior. By numbering the enterprises in the office building, extracting the enterprise type in the basic detailed information of the enterprises in the office building, and counting the enterprises in the office building. The number of each enterprise in the enterprise type, and at the same time obtain the information of each person who enters and exits the office building by swiping the card during this time period, analyzes and counts the information of each person who stayed in the office building during this time period, and extracts the person who stayed in the office building during this time period. The companies that each personnel information belongs to, count the number of employees who stayed in the office building during this time period, and analyze the number of people who stayed in the office building during this time period corresponding to each type of enterprise, and calculate the number of people who stayed in the office building during this time period. The playing time of the corresponding type of advertisement is played in order, so that the Internet advertisement push is targeted and the attention effect of the Internet advertisement content is increased.

Description

technical field [0001] The invention relates to the field of advertisement push management, and relates to an Internet advertisement intelligent push management system based on cloud computing and deep learning behavior. Background technique [0002] The advertising industry is developing very rapidly, especially Internet advertising, which has attracted people's attention. At present, various types of Internet advertisements can be seen everywhere in the office building, but how to push advertisements according to the type of enterprises has become an urgent problem to be solved. [0003] The existing Internet advertising push management technology generally has some shortcomings. The existing Internet advertising push management technology is mainly carried out in the way of manual push management, that is, it is manually played according to the set playing time of various types of advertisements, and there are some types of advertisements. The viewing effect of advertise...

AI Technical Summary

Problems solved by technology

[0003] There are generally some deficiencies in the existing Internet advertisement push management technology. The existing Internet advertisement push management technology is mainly carried out in the form of manual push management, that is, artificially play in a loop according to the set playing time of each type of advertisement. There are some types of The viewing effect of advertisements is not up to standard, resulting in the waste of Internet advertising resources, which makes the Internet advertisement push lack of pertinence, which leads to the increasing cost of Internet advertisement push. In order to reduce people's interest in advertising content and increase people's resistance, the attention effect of Internet advertising content is seriously affected. In order to solve the above problems, an Internet advertising intelligent push based on cloud computing and deep learning behavior is now designed management system

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