Resource generation model training and service resource generation method and device

A technology for generating models and serving resources, applied in biological neural network models, neural learning methods, character and pattern recognition, etc., can solve the problems of limited feedback rate improvement and low efficiency, and achieve the effect of improving accuracy and revenue

Pending Publication Date: 2021-09-17
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology has certain limitations when generating service resources, and the efficiency of generating service resources is low, and the generated service resources have limited improvement in the feedback rate

Method used

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  • Resource generation model training and service resource generation method and device
  • Resource generation model training and service resource generation method and device
  • Resource generation model training and service resource generation method and device

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Embodiment Construction

[0020] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0021] figure 1 is a schematic diagram according to the first embodiment of the present disclosure. Such as figure 1 As shown, the training method of the resource generation model in this embodiment may specifically include the following steps:

[0022] S101. Acquire training data, where the training data includes multiple state features and feedback labels for multi...

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Abstract

The invention provides a resource generation model training and service resource generation method and device, and relates to the technical field of artificial intelligence such as natural language processing and deep learning. The training method of the resource generation model comprises the following steps: acquiring training data, wherein the training data comprises a plurality of state features and feedback tags of the plurality of state features; training the first neural network model by using the plurality of state features and the feedback labels of the plurality of state features to obtain an environment model; and training a second neural network model in a reinforcement learning mode according to the plurality of state features and the environment model to obtain a resource generation model. The service resource generation method comprises the following steps: acquiring a to-be-processed state feature; and inputting the to-be-processed state feature into a resource generation model, and taking an output result of the resource generation model as a service resource corresponding to the to-be-processed state feature.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to the field of artificial intelligence technology such as natural language processing and deep learning. Provided are a resource generation model training and service resource generation method, device, electronic equipment and readable storage medium. Background technique [0002] In the prior art, when generating service resources for improving the feedback rate of users when using applications, the service resources are usually obtained by combining integer programming after training a neural network model. The existing technology has certain limitations in generating service resources, and the efficiency in generating service resources is low, and the generated service resources have limited improvement in feedback rate. Contents of the invention [0003] According to a first aspect of the present disclosure, a method for training a resource generation model i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 李科浇周波王凡陈永锋何径舟
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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