Learning content recommendation method and family education device

A technology for learning content and tutoring, applied in special data processing applications, instruments, speech analysis, etc., can solve problems such as lack of intelligence and trouble, and achieve the effect of simple recommendation methods

Active Publication Date: 2019-04-16
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when users want to obtain learning content in their region, they need to manually set information such as their region, grade, and textbook version through the tutoring device, which is cumbersome and not smart enough

Method used

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  • Learning content recommendation method and family education device
  • Learning content recommendation method and family education device
  • Learning content recommendation method and family education device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] see figure 1 , figure 1 It is a schematic flowchart of a method for recommending learning content disclosed in an embodiment of the present invention. Wherein, the method shown in the embodiment of the present invention is applicable to tutoring devices such as tutoring machines and learning machines. Such as figure 1 As shown, the learning content recommendation method may include the following steps:

[0065] 101. The tutoring equipment collects a large number of voice data samples and regional information samples of users in different regions.

[0066] In the embodiment of the present invention, the voice data samples include various voices from different regions, and the pronunciation habit features can be extracted, and a mapping relationship between the pronunciation habit features and the corresponding regional information is established to form a region that can identify the region to which the user belongs based on the voice data The recognition model is us...

Embodiment 2

[0078] see figure 2 , figure 2 It is a schematic flowchart of another learning content recommendation method disclosed in the embodiment of the present invention. Such as figure 2 As shown, the learning content recommendation method may include the following steps:

[0079] 201-202. Wherein, steps 201 to 202 are the same as steps 101 to 102 described in the first embodiment, and will not be repeated in this embodiment of the present invention.

[0080] As an optional implementation, step 202 may include the following steps: using the speech data sample as the original training data, aggregating the original training data to obtain the aggregated training data; using the aggregated training data and the regional information samples to train to obtain the regional recognition Model.

[0081] In the embodiment of the present invention, the speech data samples may specifically be some historical user data samples, which are stored in the server. Since the historical user d...

Embodiment 3

[0097] see image 3 , image 3 It is a schematic flowchart of another learning content recommendation method disclosed in the embodiment of the present invention. Such as image 3 As shown, the learning content recommendation method may include the following steps:

[0098] 301-304. Wherein, steps 301 to 304 are the same as steps 101 to 104 described in the first embodiment, and will not be repeated in this embodiment of the present invention.

[0099] 305. The tutoring device acquires historical user samples that meet the regional information.

[0100] In the embodiment of the present invention, by acquiring historical user samples with the same regional information, and the target learning content with the highest learning rate learned by the historical user samples, it is possible to better help target users to perform localized learning.

[0101] 306. The tutoring device determines the target learning content with the highest learning rate learned by the historical us...

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Abstract

The embodiment of the invention relates to the field of intelligent equipment, and discloses a learning content recommendation method and a family education device. The method comprises the followingsteps: acquiring a large number of voice data samples and regional information samples of users in different regions; training by taking the voice data sample as training data and the regional information sample as a training result to obtain a regional recognition model; acquiring voice data of the target user according to the received voice control instruction of the target user; inputting the voice data into a region recognition model to obtain region information of a target user; and recommending the learning corresponding to the regional information to the target user. By implementing theembodiment of the invention, different learning contents can be recommended to users in different regions based on voice recognition, and the recommendation mode of the learning contents can be simpler and more intelligent.

Description

technical field [0001] The invention relates to the field of smart devices, in particular to a learning content recommendation method and a tutoring device. Background technique [0002] In order to help users learn local learning content more specifically, tutoring equipment can recommend different learning content to users in different regions. However, when users want to obtain learning content in their region, they need to manually set information such as their region, grade, and textbook version through the tutoring device, which is cumbersome and not smart enough. Contents of the invention [0003] In view of the above defects, the embodiment of the present invention discloses a learning content recommendation method and a tutoring device, which can make the learning content recommendation method simpler and more intelligent. [0004] The first aspect of the embodiments of the present invention discloses a learning content recommendation method, the method comprisin...

Claims

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Application Information

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IPC IPC(8): G06F16/9537G10L15/22
CPCG10L15/22G10L2015/223
Inventor 崔颖
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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