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Big data-based user deep tag mining method

A big data and user technology, applied in special data processing applications, electrical digital data processing, instruments, etc., can solve the problems of insufficient customer judgment and insufficient user labeling management level, and achieve the effect of accurate demand

Inactive Publication Date: 2017-12-01
ANHUI ETUO COMM TECH GRP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, the labeling management level of users is not deep enough, and the judgment of customers is not accurate enough

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0015] A user deep label mining method based on big data, characterized in that: a labeled user model is abstracted based on information such as user social attributes, living habits, and consumption behaviors. The user deep label mining method includes:

[0016] (1) According to the customer's ID number, extract the user's birthplace, date of birth, gender and other information;

[0017] (2) Further calculate the constellation, zodiac and personality according to the customer's date of birth;

[0018] (3) According to the type of product purchased by the customer and some behavioral characteristics of the user, it is speculated to add the user's label; according to the customer's consumption amount and consumption frequency, the user classification with business value is obtained.

Embodiment 2

[0020] A user deep label mining method based on big data, characterized in that: a labeled user model is abstracted based on information such as user social attributes, living habits, and consumption behaviors. The user deep label mining method includes:

[0021] (1) According to the customer's ID number, extract the user's birthplace, date of birth, gender and other information;

[0022] (2) Further calculate the constellation, zodiac and personality according to the customer's date of birth;

[0023] (3) According to the type of product purchased by the customer and some behavioral characteristics of the user, it is speculated to add the user's label; according to the customer's consumption amount and consumption frequency, the user classification with business value is obtained;

[0024] (4) According to the above indicators, users are clustered and analyzed comprehensively, and finally different user groups are obtained, and a label is set for each group.

Embodiment 3

[0026] A user deep label mining method based on big data, characterized in that: a labeled user model is abstracted based on information such as user social attributes, living habits, and consumption behaviors. The user deep label mining method includes:

[0027] (1) According to the customer's ID number, extract the user's birthplace, date of birth, gender and other information;

[0028] (2) Further calculate the constellation, zodiac and personality according to the customer's date of birth;

[0029] (3) According to the type of product purchased by the customer and some behavioral characteristics of the user, it is speculated to add the user's label; according to the customer's consumption amount and consumption frequency, the user classification with business value is obtained;

[0030] (4) According to the above indicators, the users are comprehensively clustered and analyzed, and finally different user groups are obtained, and each group is set with a label;

[0031] (5...

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Abstract

The invention provides a big data-based user deep tag mining method. The user deep tag mining method comprises the steps of (1) extracting information of native places, birth dates, genders and the like of users according to identity card numbers of customers; (2) further calculating out constellations, Chinese zodiac and character according to the birth dates of the customers; and (3) adding tags of the users according to types of products purchased by the customers and a few behavior characteristic speculations of the users, and according to consumption amounts and consumption frequencies of the customers, obtaining user classification with a business value. According to the big data-based user deep tag mining method provided by the invention, the users are subjected to deeper tag mining; the tagging management level is deep; and the judgment on the customers is accurate; and by performing tagging on the users, the demands of the customers can be judged more accurately and the customers can be maintained and bound.

Description

technical field [0001] The invention relates to the technical field of big data applications, in particular to a method for mining deep tags of users based on big data. Background technique [0002] The process of establishing user portraits is to add corresponding tags, which is called tagging in the field of data mining. Tags are highly refined feature identifications obtained by analyzing user information. By tagging users, you can more accurately judge customer needs, maintain and bind customers. In the prior art, the labeling management level of users is not deep enough, and the judgment of customers is not accurate enough. Contents of the invention [0003] The purpose of the present invention is to provide a user deep tag mining method based on big data to solve the above technical problems. [0004] In order to solve the problems of the technologies described above, the present invention adopts the following technical solutions to realize: [0005] A user deep ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/24573G06F18/23
Inventor 武明根吴强生叶强
Owner ANHUI ETUO COMM TECH GRP
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