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Method and device for precisely analyzing network behaviors of Internet users

An Internet and behavioral technology, applied in the fields of computer science and systems engineering, can solve problems such as inability to improve, paralysis of data processing methods, deviation of analysis results, etc., to achieve the effect of accurate analysis and accurate prediction

Active Publication Date: 2013-09-04
康睿
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • Method and device for precisely analyzing network behaviors of Internet users
  • Method and device for precisely analyzing network behaviors of Internet users
  • Method and device for precisely analyzing network behaviors of Internet users

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] When there is a picture advertisement endorsed by Zhang Ziyi and Zhao Wei on Sina.com, the server will store this advertisement in user network behavior comparison device 1, network content attribute tag collector 2, network content and behavior matching pair 3 to generate the following tag combinations:

[0060]

[0061] The network content and behavior matching pair storage 3 transmits the above tag combination to the performance value sequence storage 4 of . Because Zhang Ziyi’s name and endorsement advertisements are much higher than Zhao Wei’s in the world, then, according to the principle of performance, the following formula is adopted:

[0062]

[0063] Among them, performance value V_Utility=I

[0064] It is known that the performance obtained by the user from the behavior of "clicking" corresponding to the label "advertisement endorsed by Zhang Ziyi" is higher than the performance obtained from the behavior of "clicking" corresponding to the label "adve...

Embodiment 2

[0074] On travel booking e-commerce platforms, under normal circumstances, the vast majority of users pay more attention to the cost-effectiveness of hotel room nights. For example, it is also a five-star hotel. The environment and the service quality of the hotel staff are average; the second one is 1100 yuan / night, but the hardware environment and the service quality of the hotel staff are very good, and the guest experience is higher than other hotels of the same star; the third one is 2000 yuan Yuan / room night, the hardware conditions are worse than the previous two hotels, but the service quality of the hotel staff is very good, humanized and one-stop service, bringing guests the comfort of home.

[0075] When there are multiple five-star hotels to choose from on the webpage connected with the server, the network content attribute label collector 2 and the network content and behavior matching pair memory 3 will automatically convert the following labels in the following ...

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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 analysis of Internet user behavior patterns in the prior art 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 Behaviors that have been completed on the Internet or terminals, such as websites visited, links clicked, pages viewed, audios listened to materials, viewed video materials, published remarks and the text and / or p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 康睿
Owner 康睿
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