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Target service control method and device, computing equipment and storage medium

A business control and target technology, applied in computing, computer parts, instruments, etc., can solve problems such as low accuracy of user classification and dependence on user characteristic data

Active Publication Date: 2020-07-28
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, it is usually based on user characteristic data and artificial intelligence models to predict whether the user will continue the business in the next time period, but this method relies too much on user characteristic data, and the accuracy of predicted user classification is not high

Method used

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  • Target service control method and device, computing equipment and storage medium
  • Target service control method and device, computing equipment and storage medium
  • Target service control method and device, computing equipment and storage medium

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Embodiment Construction

[0051] In order to better understand the technical solutions provided by the embodiments of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation manners.

[0052] The proper nouns involved in the embodiments of the present application are introduced below.

[0053]Artificial Intelligence (AI): It is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of v...

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PUM

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Abstract

The invention relates to the technical field of artificial intelligence, provides a target service control method and device, computing equipment and a storage medium, and is used for improving the accuracy of determining object classification. The method comprises the steps: according to object feature data of a target object in a reference period, obtaining a first conditional probability reserved in the target period under the condition that the target object is reserved in the reference period and a second conditional probability reserved in the target period under the condition that the target object is lost in the reference period; adjusting the first conditional probability according to the first retention probability, and adjusting the second conditional probability according to the first loss probability; obtaining a target retention probability of the target object in the target period according to the adjusted first conditional probability and the adjusted second conditionalprobability; according to the target retention probability, obtaining a classification result of whether the target object is retained in the target service or not in a target period; and executing the service logic associated with the target service according to the classification result.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a target service control method, device, computing device and storage medium. Background technique [0002] With the research and progress of artificial intelligence technology, artificial intelligence technology has been researched and applied in many fields, such as common intelligent recommendation fields. In the field of intelligent recommendation, artificial intelligence models can be used to predict the user's business-oriented behavior in the next time period, so as to provide users with more targeted services. [0003] At present, it is usually based on user characteristic data and artificial intelligence models to predict whether the user will continue the business in the next time period, but this method relies too much on user characteristic data, and the accuracy of predicted user classification is not high. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2415
Inventor 钟子宏
Owner TENCENT TECH (SHENZHEN) CO LTD