Intelligent analysis method of user information in network community

Abstract

The invention discloses an intelligent analysis method of user information in a network community. The method includes the following steps of: obtaining IDs of all the users in the network community; calculating all the published subjects and all the published replies of the corresponding ID according to each ID; aiming at the same ID, calculating the number of the published subjects and the number of the replies corresponding to each published subject; arranging grades according to two factors of each ID, the two factors being the number of the published subjects and the number of the replies of the corresponding published subjects, and the two numbers being proportional to the grades; and labeling the IDs in ideal grades, and performing follow-up focusing tracing treatment. According to the invention, the grades are arranged through calculation of the number of the published subjects and the number of the replies corresponding to each published subject, and some key users are screened out and are convenient for follow-up focusing tracing treatment.

Description

technical field [0001] The invention relates to an intelligent analysis method, in particular to an intelligent analysis method for user information in a network community. Background technique [0002] With the development of science and technology today, user information plays a very important role. The content of this type of information is mostly static data describing the basic attributes of customers. The advantage is that most of the information content is relatively easy to collect. However, some basic customer description information sometimes lacks differences, and some of the information often involves the privacy of customers, such as the customer's residence, contact information, income and other information. The most important evaluation factor for customer description information is the accuracy of data collection. In actual situations, some companies often know how many customers they have served and what customers have purchased, but when they need to activ...

AI Technical Summary

Problems solved by technology

In actual situations, some companies often know how many customers they have served and what customers have purchased, but when they need to actively contact customers, they often find that they often lack the information that can describe the characteristics of customers and the way to establish contact with customers , or these contact methods have expired, this is because the company does not have a good plan and consciously collect and maintain these customer description information

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