User behavior data analysis system capable of distinguishing clients by labels

A data analysis system and user technology, applied in the field of network information, can solve problems such as distinguishing users and not being able to use tags, and achieve the effects of improving efficiency, increasing diversity, and accurate tag libraries

Pending Publication Date: 2021-11-05
南京西桥科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a user behavior data analysis system that can distinguish customers by tags, which solves the problem that the existing user behavior data analysis system cannot quickly understand the needs of users in the market in advance, and cannot use tags The problem of distinguishing users and accurately pushing information

Method used

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  • User behavior data analysis system capable of distinguishing clients by labels
  • User behavior data analysis system capable of distinguishing clients by labels

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] refer to Figure 1-2 , a user behavior data analysis system capable of labeling and distinguishing customers, comprising the following steps:

[0033] S1: Social survey, first determine the target APP, and then conduct random user surveys to collect basic information and preferences of users in the form of questionnaires;

[0034] S2: Information collection, collecting user information of the target APP. User information includes demographic attributes, credit information, and behavior characteristics. Through information collection, different types of users can be better distinguished. After collecting user information, for the data in the log, Merge and remove unnecessary fields in the log, fill in the missing content, and reduce the data to obtain simplified data;

[0035] S3: Build a tag library, and build a user tag library based on the collected user information;

[0036] S4: Match the tag library, and obtain the strongly relevant data corresponding to the set t...

Embodiment 2

[0042] refer to Figure 1-2 , a user behavior data analysis system capable of labeling and distinguishing customers, comprising the following steps:

[0043] S1: Social survey, first determine the target APP, and then conduct random user surveys to collect basic information and preferences of users in the form of questionnaires;

[0044] S2: Information collection, collecting user information of the target APP. User information includes demographic attributes, credit information, and behavior characteristics. Through information collection, different types of users can be better distinguished. After collecting user information, for the data in the log, Merge and remove unnecessary fields in the log, fill in the missing content, and reduce the data to obtain simplified data;

[0045] S3: Build a tag library, and build a user tag library based on the collected user information;

[0046] S4: Match the tag library, and obtain the strongly relevant data corresponding to the set tar...

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Abstract

The invention relates to the technical field of network information, and discloses a user behavior data analysis system capable of distinguishing clients by labels, which comprises the following steps: S1, performing social investigation: determining a target APP, then carrying out random user investigation, and collecting basic information and preference characteristics of users in a questionnaire form; S2, performing information collection: collecting user information of the target APP, the user information including population attributes, credit information and behavior characteristics; and S3, constructing a label library. According to different labels, favorite information contents are pushed to different users, the operation intentions of the users are deeply analyzed, the requirements of the users on the market are quickly known in advance, the users are distinguished by using the labels, the information is accurately pushed, and the information pushing effect can be known through precision inspection, so that problems are found and solved. And a user behavior analysis system is perfected.

Description

technical field [0001] The invention relates to the field of network information technology, in particular to a user behavior data analysis system that can distinguish customers by tags. Background technique [0002] With the development of the Internet, a large number of users have emerged in various fields such as e-commerce, e-government, e-services, leisure and entertainment, and a variety of browser-type APPs have also been developed. When users browse these pages and information on the APP Massive behavior logs will be generated. These massive log information contains a lot of hidden value. Through the research on user behavior information, we can find information such as the rules and personalized habits of users when they access the APP, so that Provide scientific and accurate basis for improving user experience, precision marketing, information push, etc., and at the same time, make more optimized adjustments to the website's page layout, function improvement, and s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/35G06F16/9535G06Q30/02
CPCG06F16/3329G06F16/35G06F16/9535G06Q30/0271G06Q30/0277G06F2216/03
Inventor 李鹏李南
Owner 南京西桥科技有限公司
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