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Data buried point analysis method, equipment and system

A point analysis and data technology, applied in the computer field, can solve the problems of complex data analysis and statistics, inconsistent delivery log format, real-time tracking demand changes, etc., to improve work efficiency, reduce data cleaning, and improve user experience.

Active Publication Date: 2018-05-04
上海恺英网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] One purpose of this application is to provide a system, method and equipment for data buried point analysis, to solve the problems of real-time buried point demand changes, inconsistent delivery log formats, and complex data analysis and statistics in the later period

Method used

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  • Data buried point analysis method, equipment and system
  • Data buried point analysis method, equipment and system
  • Data buried point analysis method, equipment and system

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Embodiment Construction

[0058] The application will be described in further detail below in conjunction with the accompanying drawings.

[0059] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0060] Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and / or nonvolatile memory such as read only memory (ROM) or flash RAM. Memory is an example of computer readable media.

[0061] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random acce...

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PUM

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Abstract

The invention aims to provide a data buried point analysis method, equipment and system. The method comprises the following steps: determining a changed configuration content according to newly acquired configuration version information, and carrying out buried point definition and format definition of a delivery log on the basis of events on a page; verifying an acquired delivery log according tothe defined format of the delivery log, and obtaining a verified delivery log; parsing the changed configuration content and the verified delivery log so as to extract a session context identifier, and aggregating the session context identifier according to a preset aggregation rule to get an aggregation result; and determining an exception object based on the session context identifier and the aggregation result. Therefore, the tedious processes of data cleaning and statistical analysis at the later stage are greatly reduced, and the working efficiency is improved; and besides, intelligent and more automatic statistical analysis and accurate user behavior tracking are realized, and real-time visual playback can be carried out on user behaviors, thereby improving user experience.

Description

technical field [0001] The present application relates to the field of computers, in particular to a method, device and system for data buried point analysis. Background technique [0002] Usually some statistical indicators are used to reflect the product function of a product, such as the number of active users, the click-through rate of a certain location, the conversion rate of a certain activity, etc., and the calculation of these indicators is done on the PC or mobile terminal. (hereinafter referred to as "terminal") to obtain user behavior data by means of statistical analysis through big data. [0003] The initial burying points are pre-written by specific developers in the development stage according to product requirements and burying point definitions on certain specified pages or specified behaviors. Log delivery code, so that after the next version is released, it can collect to related log information. However, in the scenario of rapid product iteration and c...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F8/71
CPCH04L67/30H04L67/34G06F8/71H04L67/5682
Inventor 肖俊曾建录许建徐广庆
Owner 上海恺英网络科技有限公司
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