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Method, system and terminal for predicting age characteristics based on decision tree model

A decision tree and model technology, used in forecasting, special data processing applications, other database retrieval, etc., can solve problems such as difficulty in predicting age characteristics, and achieve the effect of improving accuracy

Pending Publication Date: 2017-03-15
BEIJING HONGMA MEDIA CULTURE DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The main purpose of the present invention is to provide a method, system and terminal for predicting age characteristics based on a decision tree model, so as to overcome the technical problem of difficult prediction of age characteristics in the existing e-commerce field

Method used

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  • Method, system and terminal for predicting age characteristics based on decision tree model
  • Method, system and terminal for predicting age characteristics based on decision tree model
  • Method, system and terminal for predicting age characteristics based on decision tree model

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Embodiment 1

[0060] Such as figure 1 As shown, one aspect of the present invention provides a method for predicting age characteristics based on a decision tree model, including: step S110, step S120, step S130 and step S140.

[0061] In step S110, basic data information is collected.

[0062] The collection of basic data information includes, but is not limited to: collection of registration information, access behavior data, order behavior data and / or artist basic data.

[0063] In step S120, feature input variables and target variables in the information attributes of the basic data are extracted to obtain sample data.

[0064] include:

[0065] Acquire all attribute information in the basic data information; extract at least one input variable and at least one target variable related to age prediction in the attribute information, and organize the at least one input variable and the at least one target variable to obtain sample data .

[0066] Preferably, eight input variables rela...

Embodiment 2

[0092] Such as figure 2 As shown, another aspect of the present invention also provides a prediction system 200 based on the age characteristics of the decision tree model, including:

[0093] The collecting module 21 is used for collecting basic data information.

[0094] The extraction module 22 is used to extract the feature input variables and target variables in the information attributes of the basic data to obtain sample data.

[0095] The modeling module 23 is used to divide the sample data into a training set and a test set, input the training set into the decision tree model for model parameter training, apply the model parameter training results to the test set, and test to meet the custom stability conditions The model parameter training result of .

[0096] The output module 24 is configured to output the model parameter training results satisfying the custom stability condition; regularly update the rules of the output model parameter training results to the a...

Embodiment 3

[0112] Such as Figure 8 As shown, another aspect of the present invention also provides an age feature prediction terminal 300 based on a decision tree model, including the system 200 described in any one of the second embodiment.

[0113] Embodiment 3 of the present invention collects basic data information; extracts the characteristic input variables and target variables in the information attributes of the basic data to obtain sample data; divides the sample data into a training set and a test set, and inputs the training set to the decision tree model Perform model parameter training in , apply the model parameter training results to the test set, and test the model parameter training results that meet the custom stability conditions; output the model parameter training results that meet the custom stability conditions; output the model parameter training The rules of the results are regularly updated to the age prediction results of unknown users, using the collected bas...

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Abstract

The invention provides a method, a system and a terminal for predicting age characteristics based on a decision tree model. The method comprises the following steps: collecting basic data information; extracting a characteristic input variable and a target variable in the attribute of the basic data information to get sample data; dividing the sample data into a training set and a test set, inputting the training set to a decision tree model for model parameter training, and applying the model parameter training result to the test set to test the model parameter training result meeting a custom stability condition; outputting the model parameter training result meeting the custom stability condition; and regularly updating the rule of the output model parameter training result to the age prediction result of an unknown user. According to the method, the system and the terminal for predicting age characteristics based on a decision tree model provided by the invention, a prediction model is built to predict the ages of users, the portraits of users are constructed precisely, a solid data foundation is laid for marketing and other scenes, and the accuracy of age identification is improved.

Description

technical field [0001] The present invention relates to the field of e-commerce, in particular to a method, system and terminal for predicting age characteristics based on a decision tree model. Background technique [0002] In user-based industries such as e-commerce or social networking, it is often necessary to know the real age of users in order to classify them and facilitate the study of their behavioral characteristics and preferences. However, the Internet is a virtual world, and users have a kind of vigilance when they swim freely, so as to hide part of their true identities. [0003] However, groups of different ages have distinctive behavioral characteristics, and their real age can be displayed through their own behavioral characteristics. Targeted processing and feature extraction of behavioral characteristic data can greatly improve the accuracy of age prediction. [0004] In the prior art, a regression model is used for age prediction. In the process of rese...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02G06F17/30
CPCG06F16/951G06Q10/04G06Q30/0201
Inventor 曹杰冯雨晖宿晓坤杨睿李学超
Owner BEIJING HONGMA MEDIA CULTURE DEV
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