Analysis Method of Internet Users Active Access Behavior Trajectories

An analysis method and Internet technology, applied in the field of Internet user active access behavior trajectory analysis, can solve problems that affect the accurate description of user interest characteristics

Active Publication Date: 2017-10-24
深圳果壳儿科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In a user's access behavior, the number of pages generated by inactive behavior is several times, tens of times, or even hundreds of times that of active behavior, resulting in a large number of "garbage" pages generated in a visit behavior, seriously affecting the Accurately describe the user's interest characteristics

Method used

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  • Analysis Method of Internet Users Active Access Behavior Trajectories
  • Analysis Method of Internet Users Active Access Behavior Trajectories

Examples

Experimental program
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Embodiment Construction

[0031] The present invention constructs a user session (session) based on the operator's DPI (Deep Packet Inspection) spectroscopic data, and analyzes the user's active access to the Internet behavior track (that is, the Click behavior track) and the associated generated affiliated track through user behavior track analysis. page, the following is a detailed description with reference to the attached drawings:

[0032] exist figure 1 Among them, according to the massive data from DPI splitting, using the artificial intelligence model, the process of analyzing the user's active behavior trajectory by constructing user sessions is as follows:

[0033]Step 1: call module 101 to read tens of billions and hundreds of billions of time-ordered access records from the data file of 102 "user access to Internet DPI data";

[0034] Step 2: call module 103 to assign i=1 to the first click page set, and assign a threshold T to the time interval between two pages in the click page set ma...

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Abstract

The invention relates to a method for analyzing active access behaviors of internet users, and belongs to the field of big data analysis. The method comprises the following steps: constructing a user session (session) according to DPI spectral data of users for accessing the internet, analyzing the behavior tracks (Click behavior tracks) of the users for actively accessing the internet and generated affiliated pages through user behavior analysis. The core technology of the method is how to judge which pages in a click page set are click pages and which pages are affiliated pages (Hits or PageViews) generated by the click pages. Through the method, the behavior tracks of the users for actively accessing the internet can be visually and clearly analyzed.

Description

technical field [0001] The invention belongs to the field of big data data analysis and data mining, and in particular relates to a method for analyzing an Internet user's active access behavior track. Background technique [0002] With the rapid development of the Internet, cloud computing, and big data, the number of Internet users in China has exceeded 600 million. As of June 2014, Internet users reached 632 million, and mobile Internet users reached 527 million. It has changed the personal lifestyle and travel habits, and brought about earth-shaking changes in human society. Whether it is the government or enterprises, whether it is banks or telecom operators, all walks of life are very concerned about people's behaviors and even behavior tracks on the Internet. In particular, to provide users with personalized services, it is necessary to accurately describe the characteristics of customers' interests and master users' behaviors on the Internet. Track, to achieve the p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06F9/44
CPCG06F16/951G06F16/9535
Inventor 孙宏季海东赵晓波董童霖赵宇龙
Owner 深圳果壳儿科技有限公司
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