An Internet Advertisement Intelligent Recommendation Management System Based on Behavior Feature Recognition

Abstract

The invention discloses an Internet advertisement intelligent recommendation management system based on behavior feature recognition, which includes a user information collection module, a user information preprocessing module, an advertisement classification module, a user interest analysis module, a database, an analysis server and an intelligent recommendation terminal. The present invention uses the user information extraction module, the user information preprocessing module, the advertisement classification module, the user interest analysis module and the analysis server to obtain the interest advertisement category of the browsing place where the user is in the current browsing time period, and then obtains the interest advertisement category from the database stored in the database. Effective advertisements are selected from the first-, second-, and third-level interest-based advertisements to recommend to users, which solves the problem that the existing technology cannot change the user's behavior characteristics, the accuracy of advertisement recommendation is low, and the promotion efficiency is low. This system not only uses It is safe and fast, and can accurately recommend advertisements according to user preferences.

Description

technical field [0001] The invention belongs to the technical field of advertising, and relates to an intelligent recommendation management system for Internet advertising based on behavior feature recognition. Background technique [0002] Advertisement, as the name suggests, is to advertise widely, that is, to inform the general public of something. Nowadays, with the continuous development of society and economy, people's social interaction has gradually developed to the Internet, and has occupied most of the time in people's daily life, which has led to the gradual decline of old social methods and entertainment methods. In this era In the background, a large number of businesses have placed advertisements on the Internet, and advertising on the Internet has become the main way of publicity for all businesses today. However, in today's technology, advertisements on the Internet are often publicized in large quantities, and the content and methods of advertisements for d...

AI Technical Summary

Problems solved by technology

[0003] In response to the above problems, the present invention proposes an intelligent recommendation management system for Internet advertisements based on behavioral feature recognition. The system uses a user information extraction module, a user information preprocessing module, an advertisement classification module, and a user interest analysis module in combination with an analysis server. Each advertisement under each interest advertisement category corresponding to each level of user interest advertisement is calculated and screened to obtain the total number of advertisements recommended to the user every day, which solves the problem that the existing technology cannot change the behavior characteristics of the user, and the recommendation of existing advertisements is accurate The problem of low popularity and low publicity efficiency

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