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Training method of user intention recognition model, server and display equipment

A technology for identifying models and user intent, applied in speech recognition, neural learning methods, character and pattern recognition, etc. It can solve problems such as over-fitting of deep learning models, decline in model accuracy, and difficulty in obtaining large amounts of data immediately, and achieve accuracy. and recall ratio is high, less intrusive effect

Pending Publication Date: 2022-03-15
HISENSE VISUAL TECH CO LTD
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Problems solved by technology

[0003] In related technologies, the domain positioning module establishes a deep learning model based on network structures such as textCNN and textRNN. This deep learning model requires a large amount of data to train the deep learning model to improve the classification accuracy of the deep learning model. However, when the business module is added , it is often difficult to obtain a large amount of data of new business immediately, which makes the deep learning model easy to fall into the state of overfitting, the generalization is reduced, and the accuracy of the model is reduced

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  • Training method of user intention recognition model, server and display equipment
  • Training method of user intention recognition model, server and display equipment
  • Training method of user intention recognition model, server and display equipment

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Embodiment Construction

[0047] In order to make the purpose, implementation and advantages of the application clearer, the following will clearly and completely describe the exemplary embodiments of the application in conjunction with the accompanying drawings in the exemplary embodiments of the application. Obviously, the described exemplary embodiments It is only a part of the embodiments of the present application, but not all the embodiments.

[0048] Based on the exemplary embodiments described in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the appended claims of this application. In addition, although the disclosures in this application are introduced as exemplary one or several examples, it should be understood that each aspect of these disclosures can also independently constitute a complete implementation.

[0049] It should be noted that the brief description of the terms in this...

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Abstract

The embodiment of the invention provides a training method of a user intention recognition model, a server and a display device, the training method comprises the steps that samples in a training sample set are divided into a plurality of training groups, and each training group comprises a support set and a query set; inputting the training group into a user intention recognition model, and respectively extracting sample features of a support set and sample features of a query set; calculating the similarity between the sample features of the support set and the sample features of the query set through a cosine function; calculating a loss function of the user intention recognition model according to the similarity; and optimizing the loss function through the plurality of training groups until the user intention recognition model converges. The user intention recognition model is trained based on a small sample classification mode, sample data can be fully utilized, and generalization and recognition accuracy of the user intention recognition model are improved.

Description

technical field [0001] The present application relates to the technical field of display devices, in particular to a training method for a user intention recognition model, a server and a display device. Background technique [0002] With the rapid development of artificial intelligence, deep learning methods have been widely used in text classification. At the same time, with the rapid growth of demand for voice assistant services on smart devices such as display devices, the domain positioning module set on the controller of the display device or the server of the display device needs to be updated iteratively to meet business needs. At present, the domain positioning module can classify the text of the user request received by the voice assistant based on the deep learning model, and locate a business module to process the user request according to the classification result, thereby identifying and responding to the user's intention. [0003] In related technologies, the...

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Application Information

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IPC IPC(8): G10L15/22G10L15/26G10L15/18G10L15/16G10L15/06H04N21/422G06K9/62G06N3/04G06N3/08
CPCG10L15/22G10L15/1822G10L15/16G10L15/063H04N21/42204H04N21/42221G06N3/049G06N3/08G10L2015/223G06N3/044G06N3/045G06F18/214G06F18/24
Inventor 王利杰王聪沈承恩杨善松
Owner HISENSE VISUAL TECH CO LTD
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