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Communication network call prediction method and device, equipment and storage medium

A communication network and prediction method technology, applied in neural learning methods, biological neural network models, monitoring/monitoring/testing arrangements, etc. Equipment simple effect

Active Publication Date: 2022-07-29
CHINA TELECOM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present disclosure provides a communication network call prediction method, device, equipment, and storage medium, which overcomes the problem of accurately identifying fraudulent users in the existing communication network industry at least to a certain extent

Method used

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  • Communication network call prediction method and device, equipment and storage medium
  • Communication network call prediction method and device, equipment and storage medium
  • Communication network call prediction method and device, equipment and storage medium

Examples

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Embodiment Construction

[0064] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments, however, can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0065] Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated descriptions will be omitted. Some of the block diagrams shown in the figures are functional entities that do not necessarily necessarily correspond to physically or logically separate entities. These functi...

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Abstract

The invention provides a communication network call prediction method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps that a communication network dynamic graph with at least two nodes in the current time period is constructed, the dynamic graph comprises the nodes and directed edges connected with the nodes, the nodes correspond to users in the communication network, the directed edges between the two nodes correspond to conversation between the two users, and the directed edges between the two nodes correspond to the conversation between the two users; the weight of the directed edge corresponds to call quality data, and the timestamp corresponds to call time; slicing the dynamic graph to obtain a plurality of static graphs at different moments, and forming a target data set; and inputting the target data set into a pre-trained communication network prediction model, and outputting a call relationship prediction result of the two nodes at a next moment, the next moment being a moment after the current time period. By constructing the communication network dynamic graph, the call relationship between the two nodes in the communication network is predicted, and the user experience is improved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular, to a communication network call prediction method, apparatus, electronic device, and computer-readable storage medium. Background technique [0002] With the continuous development of Internet technology, users have higher and higher requirements for personalized recommendation services. How to identify fraudulent users and improve service quality according to the existing behavior data and abnormal call behavior of users has become a hot field in the development prospect of the communication field. [0003] With the advent of the era of big data and the rise of various e-commerce platforms and short video apps, recommendation algorithms are playing an increasingly important role in our daily lives. [0004] At present, recommendation algorithms are mainly divided into two categories, one of which is collaborative filtering recommendation algorithm, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04M3/22G06N3/08G06N3/04
CPCH04M3/2281G06N3/08G06N3/048G06N3/044G06N3/045Y02D30/70
Inventor 张凯程
Owner CHINA TELECOM CORP LTD
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