Method and device for precisely analyzing network behaviors of Internet users

Abstract

Disclosed are a method and a device for precisely analyzing network behaviors of Internet users. Data analyzed and processed by the method is from the Internet users, namely particular behaviors of the Internet users aiming at different contents in their network environments and the behaviors of the Internet users and actions can be taken by the Internet users in current network environment, and accordingly, the most precise behavior mode of each Internet user can be truly and fully obtained. In addition, instantaneity of the method is self-updatable according to continuous updating of the contents of websites, and accuracy of the method is continuously improved along with increasing of the behaviors and the actions of the Internet users on the websites. Due to the fact that label and behavior matching is used to label website contents and actions can be taken by the Internet users, each action taken by the Internet users on the websites can trigger an update of user behavior mode analyzing. Therefore, the accuracy of the method is enhanced. The more actions the Internet users took on the websites, the more accurate the analyzing of behavior modes of the Internet users is.

Description

technical field [0001] The invention belongs to the fields of computer science and system engineering, and in particular relates to a method and device for accurately analyzing the network behavior of Internet users, which can be applied to the Internet industry, the field of e-commerce, the field of social network services, and the field of online games. Background technique [0002] In the field of Internet e-commerce in the computer science industry, the existing technology analysis of Internet user behavior patterns is mostly based on the following information: (1) Static registration information filled in by users when using the network or terminals, such as name, age, place of birth , current location, field of work, family income, hobbies, marital status, etc.; ② Completed behaviors on the network or terminal, such as visited URLs, clicked links, browsed pages, and listened to audio data, viewed video data, published remarks and their generated text and / or picture con...

AI Technical Summary

Problems solved by technology

This dependency has two fatal weaknesses: first, when such massive data sources cannot be obtained, the data processing method will be paralyzed instantly; second, even if massive data can be obtained, the analysis results based on these massive data It also reflects the common characteristics of all these massive data, and all the individual characteristics of a specific data cannot be mined and finally analyzed, resulting in uncontrollable deviations and even errors in the analysis results; third, there is no guarantee that the massive samples and the predicted The attribute comparability of the object, when the massive sample being analyzed and the predicted research object have commonality or similarity in certain attributes and essential differences in other attributes, if the attributes being studied belong to the above-mentioned essential differences attribute, then the conclusions drawn by this method usually have errors that cannot be improved

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