User satisfaction analysis method and device

A user satisfaction and analysis method technology, which is applied in the field of user satisfaction analysis methods and devices to achieve the effects of improving accuracy, fast training, and avoiding overfitting.

Inactive Publication Date: 2018-07-13
LIAONING MOBILE COMM +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present invention provides a user satisfaction analysis method and device, which can solve the problems in the prio

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  • User satisfaction analysis method and device
  • User satisfaction analysis method and device
  • User satisfaction analysis method and device

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Embodiment Construction

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0025] figure 1 is a schematic block diagram of an ana...

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Abstract

The invention discloses a user satisfaction analysis method and device. The user satisfaction analysis method includes the following steps: integrating data of a BSS domain and an OSS domain, and obtaining indicator data for predicting the user satisfaction; cleaning and marking the indicator data; and predicting the user satisfaction by using an improved random forest algorithm based on the cleaned and marked indicator data. According to the scheme of the invention, the OSS domain and the BSS domain are subjected to fusion analysis, the data diversity can be improved, multi-dimensional data can be formed, and by analyzing a balanced random forest algorithm that is used to improve multi-dimensional indicator data, the accuracy rate, recall ratio and precision ratio of predicting the user satisfaction can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of information technology and data business, in particular to a user satisfaction analysis method and device. Background technique [0002] Customer satisfaction reflects the value of the company, and it has very important guiding significance for the marketing of the company, both at the strategic level and at the tactical level. The survey of customer satisfaction and the relationship between the survey results and product / service attributes, Has become a tool for a market-driven approach to quality. On the other hand, with the development of information technology, huge amounts of information have been accumulated in the huge databases of telecom operators. How to apply data mining technology to all aspects of operation, management and decision-making, and obtain effective information from massive data can inspire enterprises. sexual guidance. Therefore, how to effectively and accurately evaluat...

Claims

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Application Information

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IPC IPC(8): G06Q30/00G06Q30/02
CPCG06Q30/01G06Q30/0203
Inventor 印艳春
Owner LIAONING MOBILE COMM
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