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QQ group data acquisition method and system based on browser test component

A technology for testing components and data acquisition, which is applied in the field of social network data acquisition, can solve the problems of heavy maintenance and upgrade workload, low flexibility, and high dependence, and achieve the goal of increasing quantity, speed and scale, and reducing time expenditure Effect

Active Publication Date: 2017-12-19
INST OF INFORMATION ENG CHINESE ACAD OF SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In summary, the current data acquisition technologies and methods are difficult to be universal due to the characteristics of different platforms. At the same time, data acquisition versions for some social networks are highly dependent, less flexible, and less robust. In the long run, maintenance Huge amount of work to upgrade

Method used

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  • QQ group data acquisition method and system based on browser test component
  • QQ group data acquisition method and system based on browser test component
  • QQ group data acquisition method and system based on browser test component

Examples

Experimental program
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Embodiment Construction

[0061] The flow process of QQ group data collection among the present invention is as figure 1 As shown, the system frame diagram is as follows figure 2 As shown, the acquisition of QQ group data includes instant information acquisition and non-instant information acquisition. details as follows:

[0062] 1) The instant information acquisition based on the browser test component can be divided into the following steps:

[0063] a) Through the interface of the browser test component, start the browser, and jump to the QQ page on the Web side. Such as image 3 As shown, open SmartQQ (this is a version of qq on the web side).

[0064] b) Simulate user behavior, input and collect account number and password, and judge whether manual input of verification code is required, and if necessary, prompt the operator to manually input (the verification code used by QQ on the web side has been processed, and it is currently difficult to obtain correct verification through image compa...

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PUM

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Abstract

The invention discloses a method and system for acquiring QQ group data based on a browser test component. By providing the browser test component, user behavior simulation is realized, and in this way, the login operation of QQ on the Web side is realized. Combined with parallel design, it is QQ-oriented The group realizes the data acquisition of instant chat information and non-instant information. The present invention can avoid manual login operation, take into account the integrity of acquired data while quickly acquiring data, and at the same time, the cost investment in later maintenance is smaller, and can be quickly modified and put into use according to version changes.

Description

technical field [0001] The invention relates to the field of social network data acquisition, and is a method and system for acquiring QQ group data based on a browser test component to realize more targeted and accurate QQ group data acquisition. Background technique [0002] Tencent QQ is currently the most influential social network in China. QQ registered users have grown from 2 people (Ma Huateng and Zhang Zhidong) in 1999 to hundreds of millions of users. In August 2013, the number of QQ active users reached 818.5 million. At 21:11 on April 11, the number of online users exceeded 200 million. QQ users can post text and picture messages, upload album pictures, upload files, organize event voting and other operations in the QQ group. Now it has become a representative work of Tencent. . The development and popularization of IM are necessarily related to its own characteristics. IM has the characteristics of real-time, online and text interaction, and meets people's nee...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/36
Inventor 沙灜包秀国程工陈学敏贺敏梁棋马宏远王卿庞琳李雄刘玮
Owner INST OF INFORMATION ENG CHINESE ACAD OF SCI
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