Customer service strategy making method and device based on random forest and decision-making tree
A random forest and customer service technology, applied in the field of machine learning to achieve precise positioning, maintain long-term sustainable development, and enhance competitiveness
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0071] This embodiment discloses a method for formulating customer service strategies based on random forests and decision trees, as shown in Figure 1, including the following steps:
[0072] Step (1): Obtain the value characteristics of sample customers, and judge the quality of sample customers;
[0073] Step (2): Use sample customer data, train based on random forest and decision tree algorithms, and build a high-quality customer identification model;
[0074] Step (3): Analyzing the validity of the judgment results of the high-quality customer identification model based on the expert supervision method, and training the high-quality customer optimization identification model based on the analysis results;
[0075] Step (4): Using the value characteristics of the customers to be identified as input, based on the high-quality customer optimization identification model, the high-quality customer identification results of different interpretations are obtained;
[0076] Step ...
Embodiment 2
[0178] The purpose of this embodiment is to provide a device for formulating customer service strategies based on random forests and decision trees.
[0179] A client service strategy formulation device based on random forest and decision tree, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor implements the following steps when executing the program, including :
[0180] Step (1): Obtain the value characteristics of sample customers, and judge the quality of sample customers;
[0181] Step (2): Use sample customer data, train based on random forest and decision tree algorithms, and build a high-quality customer identification model;
[0182] Step (3): Analyzing the validity of the judgment results of the high-quality customer identification model based on the expert supervision method, and training the high-quality customer optimization identification model based on the analysis results;
[0183] Step ...
Embodiment 3
[0188] The purpose of this embodiment is to provide a computer-readable storage medium.
[0189] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the following steps are performed:
[0190] Step (1): Obtain the value characteristics of sample customers, and judge the quality of sample customers;
[0191] Step (2): Use sample customer data, train based on random forest and decision tree algorithms, and build a high-quality customer identification model;
[0192] Step (3): Analyzing the validity of the judgment results of the high-quality customer identification model based on the expert supervision method, and training the high-quality customer optimization identification model based on the analysis results;
[0193] Step (4): Using the value characteristics of the customers to be identified as input, based on the high-quality customer optimization identification model, the high-quality customer identif...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com