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Telecommunication package recommendation method and device, storage medium and equipment

A technology for recommending methods and packages, applied in the field of machine learning, can solve the problems of huge information, difficult for users to choose packages, and too many packages, so as to improve the accuracy and speed of learning.

Active Publication Date: 2020-04-21
北京思特奇信息技术股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the number of packages has not brought a matching market advantage. The number of packages is large and bloated, and the information is huge, which brings management and marketing difficulties to telecom operators. At the same time, it is difficult for users to choose the package that suits them best.

Method used

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  • Telecommunication package recommendation method and device, storage medium and equipment
  • Telecommunication package recommendation method and device, storage medium and equipment
  • Telecommunication package recommendation method and device, storage medium and equipment

Examples

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0054] like figure 1 As shown in the flowchart of a method for recommending a telecommunications package provided by an embodiment of the present invention, the method for recommending a telecommunications package includes the following steps:

[0055] 110. Determine the user feature vector of the user.

[0056] 120. Determine the package feature vector of each package in the package library.

[0057] 130. After connecting each package feature vector wit...

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Abstract

The invention relates to a telecommunication package recommendation method. The method comprises the following steps: determining a user feature vector of a user and a package feature vector of each package in a package library; connecting each package feature vector with the user feature vector, and inputting the package feature vectors and the user feature vectors into a factorization machine model to obtain an implicit vector matrix; and inputting the implicit vector matrix into a trained multi-layer perceptron model to obtain the probability that the user orders each package, and determining a package recommendation list of the user according to the probability. According to the invention, the deep features of the user and the package can be learned, and the accuracy of recommending the package to the user is improved. The invention also relates to a telecommunication package recommendation device, a storage medium and equipment.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a method, device, storage medium and equipment for recommending telecommunication packages. Background technique [0002] With the development of communication technology and the continuous improvement of user needs, the target market division of telecom packages is becoming more and more detailed, the design of packages is more diversified and multi-angle, and the types and functions are more complete and rich. However, the number of packages has not brought a matching market advantage. The number of packages is large and bloated, and the information is huge, which brings management and marketing difficulties to telecom operators. At the same time, it is difficult for users to choose the most suitable package for them. Therefore, how to provide customers with suitable packages is an urgent problem to be solved at present. Contents of the invention [0003] Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06K9/62
CPCG06Q30/0631G06F18/2411G06F18/214
Inventor 王科
Owner 北京思特奇信息技术股份有限公司
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