Method and system for analysis on user behavior diagram based on user behavior data

Abstract

The invention relates to a method and system for accurate online advertisement putting based on big data drive. The method comprises the steps that a user management system is established; user behavior data classification is conducted on interested users stored in the user management system, and a user behavior database is established; screening and searching are conducted according to user behavior data database classification items; thermodynamic diagrams, shown on corresponding maps, of the corresponding user behavior databases are established. The historical changes of user interests are visually shown in the modes of the thermodynamic diagrams, the thermodynamic diagrams with more interested users are deep in color, the thermodynamic diagrams with fewer interested users are light in color, the changes of the user interests are known according to the thermodynamic color changes of the users on the maps, data information is prospectively obtained according to the changes of thermodynamic diagrams, the user behavior data can be effectively, continuously and accurately collected, an advertisement putting effect can be improved, and a coaching effect can be played on marketing decision making.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for analyzing user behavior graphs based on user behavior data. Background technique [0002] In the existing technology, Internet advertisements only give user interest tags, and customers cannot intuitively judge the number of people and the authenticity of crowd data based on the selected tags, and traditional user behavior tags are judged based on cookies, and cookies themselves It has some defects: (1) The data saved in the client cookie is unstable, because the user may clear the browser cookie at any time; (2) Different browsers will also generate different cookie IDs, which cannot be determined based on some cookies. Judging a user's behavior; (3) After the general user behavior data is collected, processed and analyzed, it is not combined with geographical location to display the visualization effect and generate commercial value. [0003] Therefor...

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, Internet advertisements only give user interest tags, and customers cannot intuitively judge the number of people and the authenticity of crowd data based on the selected tags, and traditional user behavior tags are judged based on cookies, and cookies themselves It has some defects: (1) The data stored in the client-side Cookie is unstable, because the user may clear the browser's Cookie at any time; (2) Different browsers will also generate different cookie IDs, which cannot be identified based on some cookies. Judging a user's behavior; (3) After the general user behavior data is collected, processed and analyzed, it is not combined with geographical location to show the visual effect and generate commercial value

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