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Network behavior AI analysis algorithm

A technology for analyzing algorithms and behaviors, applied in computing, marketing, advertising, etc., can solve problems such as large differences, difficult value-added services, difficult online dependence and loyalty of users, etc., to increase transaction rate, increase profitability, push The effect of business matching

Pending Publication Date: 2022-02-18
山东顺国电子科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current network behavior analysis technology or algorithm can generally only describe and analyze user browsing data, and then simulate user needs for business promotion, and the analysis results are often quite different from actual needs, making it difficult for users to generate online dependence and Loyalty, average transaction rate of online business, insufficient utilization of network resources, more difficult to generate effective value-added services

Method used

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them.

[0025] refer to figure 1 , network behavior AI analysis algorithm, including the following analysis steps:

[0026] S1. Obtain user IP, obtain user IP and port information by retrieving user login information, and record user information at the same time; in step S1, DNS access statistics data collection technology can be used to identify, collect and record user information, and user information number record.

[0027] S2. Analyze user positioning, use the user positioning analysis system, combine with big data traffic analysis to describe user identities, and analyze user preferences; refer to figure 2 , the user location analysis system used in st...

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Abstract

The invention discloses a network behavior AI analysis algorithm which comprises the following analysis steps: S1, acquiring a user IP, acquiring the user IP and port information by retrieving user login information, and also recording user information; s2, analyzing user positioning; s3, user behavior prediction; s4, identifying a user behavior result; s5, outputting an analysis result and recommending the corresponding service again; and S6, self-learning replication: carrying out self-learning comparison on the comparison and analysis data of the behavior result analysis system through a self-learning replication system. The user is fully firstly positioned, the user behavior result is analyzed and compared, and the user behavior prediction system is subjected to self-learning updating, so that the accuracy of user behavior analysis and simulation description can be greatly improved, the push service is more matched, the online service transaction rate is effectively improved, and thus network resources are fully utilized and the online profit amplitude is improved.

Description

technical field [0001] The present invention relates to the related technical field of network behavior analysis, in particular to a network behavior AI analysis algorithm. Background technique [0002] Network behavior refers to the operation behavior of Internet users on the Internet. For the current online transactions, it is very important to analyze the user's network behavior in depth, and it plays a very important role in improving the business transaction rate. [0003] However, the current network behavior analysis technology or algorithm can generally only describe and analyze user browsing data, and then simulate user needs for business promotion, and the analysis results are often quite different from actual needs, making it difficult for users to generate online dependence and Loyalty, online business transaction rate is average, and its network resources are underutilized, making it difficult to generate effective value-added services. In view of this, this ap...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0271G06Q30/0277G06Q30/0253G06Q30/0601
Inventor 苗敬峰胥继云郭宪强李松松
Owner 山东顺国电子科技有限公司