Artificial intelligence-based resource combination and optimization method and device and storage medium

A technology of artificial intelligence and combination optimization, applied in the direction of instruments, computing models, data processing applications, etc., can solve the problems of reducing the income of resource combination, resource combination is not the optimal resource combination, etc., to achieve the effect of improving income and ensuring optimal

Pending Publication Date: 2017-09-15
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0008] However, this method has certain problems in practical applications, such as: after obtaining the resource scores of each candidate resource, the candidate resources are screened based on manually set rules to obtain the resource combination displayed to the user, and this The rules are only optimal under artificial experience, not optimal in the true sense, so that the resource combination displayed to the user is not the optimal resource combination, which in turn reduces the income of resource combination

Method used

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  • Artificial intelligence-based resource combination and optimization method and device and storage medium
  • Artificial intelligence-based resource combination and optimization method and device and storage medium
  • Artificial intelligence-based resource combination and optimization method and device and storage medium

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[0026] In order to make the technical solution of the present invention more clear and understandable, the solution of the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0027] figure 1 It is a flowchart of an embodiment of an artificial intelligence-based resource combination optimization method according to the present invention, such as figure 1 As shown, including the following specific implementation methods:

[0028] In 101, the training strategy model based on reinforcement learning thought;

[0029] In 102, when it is necessary to generate a resource combination, obtain resource scores of each candidate resource;

[0030] In 103, M candidate resources are selected from each candidate resource to form a resource combination according to the resource score and the policy model of each candidate resource, where M is a positive integer greater than one.

[0031] It can be seen that the implementati...

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Abstract

The invention discloses an artificial intelligence-based resource combination and optimization method and device and a storage medium. The method comprises the following steps of: carrying out training to obtain a reinforced learning thought-based strategy model; when a resource combination needs to be generated, respectively obtaining a resource score of each candidate resource; and selecting M candidate resources from the candidate resources according to the resource score of each candidate resource and the strategy model so as to form the resource combination, wherein M is a positive integer greater than 1. By applying the method, the gain of the resource combination can be enhanced.

Description

【Technical field】 [0001] The invention relates to computer application technology, in particular to an artificial intelligence-based resource combination optimization method, device and storage medium. 【Background technique】 [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] In scenarios such as feed flow and search products, resource combination optimization is a very common and important problem. [0004] For exa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N99/00
CPCG06N20/00G06Q10/04
Inventor 吴泽衡王凡方晓敏何径舟周古月温佩怡
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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