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User behavior analysis system based on big data platform

A big data platform and behavior analysis technology, applied in the field of big data analysis, can solve the problems of ignoring user behavior analysis, difficult to achieve in-depth insight into user behavior, etc., and achieve the effect of in-depth insight

Pending Publication Date: 2020-09-22
科技谷(厦门)信息技术有限公司
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AI Technical Summary

Problems solved by technology

Traditional tags are a static description of user characteristics, ignoring user behavior analysis based on time series in the perception of user dynamic behavior trajectory, making it difficult to achieve in-depth insight into user behavior

Method used

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  • User behavior analysis system based on big data platform

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Embodiment

[0020] The invention discloses a user behavior analysis system based on a big data platform, including a data acquisition module, a data adaptation module, a data storage module, a data processing module, a dynamic analysis module, a business rule configuration module and a result generation module, wherein:

[0021] The data collection module is used to collect raw data, and the raw data is post source layer data of the business system.

[0022] The data adaptation module is used to establish an adaptation model for data conversion of the original data, and obtain target data through conversion. The adaptation model includes: receiving raw data conversion requests from different business systems; parsing and processing raw data and configuring longitudinal tables ((users, channels, time, events, etc.)) rules for raw data based on SQL scripts; Data cache processing and configuration of the configured data in the running stage; conversion processing of the cached data, storage ...

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Abstract

The invention discloses a user behavior analysis system based on a big data platform. The system comprises a data acquisition module, a data adaptation module, a data storage module, a data processingmodule, a dynamic analysis module and a result generation module, the data acquisition module is used for acquiring original data; wherein the original data are source layer data of a business system; the data adaptation module is used for establishing an adaptation model for performing data conversion on original data, and obtaining target data through conversion; the data storage module is usedfor carrying out multi-channel and multi-dimensional storage integration on the target data in the form of a wide table; the data processing module is used for forming close source longitudinal tablebehavior index data according to a target data form, the dynamic analysis module is used for analyzing user behaviors and obtaining a user motivation result, and the result generation module is usedfor integrating different close source behaviors of a user and forming a fusion behavior result.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a user behavior analysis system based on a big data platform. Background technique [0002] In the field of big data analysis, in order to deepen the understanding of users, 360 panoramic portraits of users have been constructed. Traditional user portraits are often realized by processing indicators such as user natural attributes, transaction / consumption behavior, and user value to reflect the current status of the user. The user behavior trajectory is indeed a direct reflection of user demands and preferences. Traditional tags are a static description of user characteristics, ignoring user behavior analysis based on time series in the perception of user dynamic behavior trajectories, making it difficult to achieve in-depth insight into user behavior. Contents of the invention [0003] In order to solve the above problems, the present invention provides a user beha...

Claims

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Application Information

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IPC IPC(8): G06F16/2457G06F16/2453G06F16/2455G06F16/25
CPCG06F16/2457G06F16/24564G06F16/2453G06F16/258
Inventor 陈思恩廖雅哲杨紫胜吴炎泉
Owner 科技谷(厦门)信息技术有限公司
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