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Precision marketing method based on Xgboost and DBSCAN

A precision marketing and algorithm technology, applied in the field of precision marketing based on Xgboost and DBSCAN, can solve the problem of low marketing success rate, and achieve the effect of reducing labor costs, improving marketing efficiency, and improving marketing success rate

Pending Publication Date: 2020-10-16
NANTONG UNIVERSITY
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  • Claims
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AI Technical Summary

Problems solved by technology

Even if the machine works day and night to reduce labor loss, after all, the program of the machine is preset, and it is difficult to use targeted marketing measures for different customers
[0005] In general, the existing machine marketing methods have the problem that the marketing success rate is too low

Method used

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  • Precision marketing method based on Xgboost and DBSCAN
  • Precision marketing method based on Xgboost and DBSCAN
  • Precision marketing method based on Xgboost and DBSCAN

Examples

Experimental program
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Embodiment Construction

[0037] The present invention is further described below.

[0038] The process of the precision marketing method based on Xgboost and DBSCAN includes the following steps: Step 1. Manually label the bank data in the data source to obtain category information, set the label value for the classified product, and set the target customer as 1. The target customer is 0;

[0039] Step 2. Integrate bank data and its annotation information as a complete data set;

[0040] Step 3. Carry out exploratory analysis on the data set, which specifically includes the following steps: Step a. Preliminarily observe and record the characteristics and attributes of the source data for preliminary analysis; Step b. Set a threshold as an indicator of data preprocessing; Step c .Format conversion, convert the text format into a csv format that is easy to handle.

[0041] Step 4. Perform data preprocessing on the data set, divide the data set, and obtain a training set and a test set, as follows: data...

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Abstract

The invention discloses a precision marketing method based on Xgboost and DBSCAN. The method comprises the following steps: 1, carrying out the manual marking of bank data in a data source, and obtaining the class information; 2, integrating the bank data and the annotation information of the bank data to obtain a complete data set; 3, exploratory analysis is conducted on the data set; 4, performing data preprocessing on the data set, and dividing the data set to obtain a training set and a test set; step 5, inputting the data into a constructed model for training to obtain a precision marketing model; 6, inputting to-be-detected bank data into the precision marketing model for detection to obtain a customer classification result; and step 7, performing effect verification, and outputtinga detection result. According to the invention, the target client is found through Xgboost, and the DBSCAN is used to recommend the corresponding product to the target client, so that the marketing success rate is improved.

Description

technical field [0001] The invention relates to the field of machine learning and data mining, in particular to a precise marketing method based on Xgboost and DBSCAN. Background technique [0002] At present, with the rapid development of science and technology, more commercial companies have put forward higher requirements for marketing accuracy while pursuing marketing effects. Product quality and customer resources hold the lifeblood of commercial companies. Precision marketing based on big data is an important link to improve marketing efficiency and reduce labor costs. [0003] At present, the marketing of financial products of banks generally adopts manual marketing and machine marketing. Among them, manual marketing has the disadvantages of low efficiency, high cost, and fatigue of labor; while machine marketing mainly presets all marketing words and broadcasts them one by one during work, thus reducing labor costs. Therefore, the use of robots to implement marketi...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q40/02G06Q30/06G06Q30/02
CPCG06Q40/02G06Q30/0631G06Q30/0201G06Q30/0203G06F18/2148G06F18/24
Inventor 石建
Owner NANTONG UNIVERSITY
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