Characteristic index screening method, satisfaction prediction model construction method and prediction method

A feature index and predictive model technology, applied in the field of computing devices and computer-readable storage media, feature index screening methods and devices, satisfaction prediction methods and devices, can solve the problems of slowing down the speed of model construction and consuming manpower, etc. Achieve the effects of reducing data volume, improving accuracy, and reducing modeling time

Pending Publication Date: 2022-04-15
BEIJING TUOMING COMM TECH
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Problems solved by technology

However, in this process, manual screening will be very labor-intensive and will slow down the speed of model construction

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  • Characteristic index screening method, satisfaction prediction model construction method and prediction method
  • Characteristic index screening method, satisfaction prediction model construction method and prediction method
  • Characteristic index screening method, satisfaction prediction model construction method and prediction method

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Embodiment Construction

[0051] The technical solutions provided by the present application will be further described below in conjunction with the accompanying drawings and examples. It should be understood that the system structure and business scenarios provided in the embodiments of the present application are mainly for illustrating possible implementations of the technical solution of the present application, and should not be interpreted as the only limitation on the technical solution of the present application. Those skilled in the art know that, with the evolution of the system structure and the emergence of new business scenarios, the technical solutions provided in this application are also applicable to similar technical problems.

[0052] It should be understood that the feature index screening scheme and its application provided in the embodiments of the present application include a feature index screening method and device, a satisfaction prediction model construction method and device...

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Abstract

The invention relates to a feature index screening method, which comprises the following steps: obtaining a user data set, user data in the user data set comprising at least two feature indexes; at least two different pre-screening models are constructed based on the same n characteristic indexes, the at least two different pre-screening models form a pre-screening model group, and n is a natural number greater than 0; and when it is judged that the performance indexes of the pre-screening model group meet requirements, taking the n feature indexes as the screened feature indexes. The invention further relates to a satisfaction prediction model construction method and a satisfaction prediction method. The degree of satisfaction prediction model constructed by the method and the device is more universal.

Description

technical field [0001] This application relates to the fields of communication network, machine learning, and deep learning big data modeling, and in particular to a method and device for feature index screening, a method and device for constructing a satisfaction prediction model, a method and device for predicting satisfaction, a computing device and a computer-readable storage medium. Background technique [0002] In the research scenario of network satisfaction of users of telecom operators, it is necessary to first determine the characteristic indicators that affect network satisfaction. The current traditional method of user satisfaction big data analysis feature selection is to fuzzily predict customer satisfaction perception through methods such as manual experience screening, mean comparison, and linear graphing to view correlations. [0003] Using the above-mentioned traditional methods to analyze the feature indicators that affect network satisfaction may easily ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/00G06K9/62G06N3/02
Inventor 顾龙王宗晖王广善陈纪阔
Owner BEIJING TUOMING COMM TECH
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