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Learning content recommendation method, device and intelligent device

A learning content and recommendation method technology, applied in the field of learning content recommendation methods, devices and smart devices, can solve the problems of simple learning content, difficult learning content, ignoring learning ability and understanding ability, etc., to meet learning needs and improve learning Efficiency, the effect of improving the recommendation effect

Inactive Publication Date: 2018-05-04
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a learning content recommendation method, device, and smart device to solve the problem that the existing recommendation method ignores the user's own learning ability and comprehension ability when recommending learning content, resulting in the recommended learning content It is too difficult or the learning content is too simple, which cannot help users to learn effectively, thus affecting the learning efficiency of users

Method used

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  • Learning content recommendation method, device and intelligent device
  • Learning content recommendation method, device and intelligent device
  • Learning content recommendation method, device and intelligent device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] figure 1 A flow chart of a learning content recommendation method provided by an embodiment of the present invention is shown, and the details are as follows:

[0063] Step S101, acquiring the test questions searched by the user.

[0064] Specifically, the user enters the test question to be searched in the input box on the smart device, or the keyword of the test question to be searched, and clicks Search. Keywords to find the corresponding test questions. Further, in the embodiment of the present invention, the test questions stored in the smart device (or in the cloud server connected to the smart device) all have corresponding id test question numbers,

[0065] Step S102, searching the large database for the correct answer rate corresponding to the test question searched by the user.

[0066] Optionally, in order to facilitate the search for the correct answer rate corresponding to the test question searched by the user and improve search efficiency, the step S10...

Embodiment 2

[0087] figure 2 It shows a flow chart of another learning content recommendation method provided by an embodiment of the present invention, which is described in detail as follows:

[0088] Step S201, acquiring the test questions searched by the user.

[0089] Step S202, searching the large database for the correct answer rate corresponding to the test question searched by the user.

[0090] Step S203, according to the found correct rate of answers, determine the degree of difficulty of the test questions according to a preset algorithm.

[0091] Step S204, recommending learning content corresponding to the difficulty coefficient according to the difficulty coefficient.

[0092] In this embodiment, for the specific steps from step S201 to step S204, refer to step S101 to step S104 in the first embodiment, which will not be repeated here.

[0093] Step S205, determining the level of the learning content corresponding to the difficulty factor.

[0094] Specifically, the lev...

Embodiment 3

[0104] Corresponding to the learning content recommendation method described in the above embodiment, image 3 A structural block diagram of an apparatus for recommending learning content provided by an embodiment of the present invention is shown, the apparatus can be applied to smart devices, and the smart devices may include user equipment that communicates with one or more core networks via a radio access network RAN , the user equipment may be a mobile phone (or called a "cellular" phone), a computer with a mobile device, etc., for example, the user equipment may also be a portable, pocket, handheld, computer built-in or vehicle-mounted mobile device, which Exchange voice and / or data with the radio access network. For another example, the mobile device may include a smart phone, a tablet computer, a personal digital assistant (PDA), or a vehicle computer. For ease of description, only parts related to the embodiments of the present invention are shown.

[0105] refer to...

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Abstract

The invention is applicable to the technical field of intelligent recommendation, and provides a learning content recommendation method, a learning content recommendation device and an intelligent device. The method includes steps of acquiring test questions searched by users; looking for answer accuracy corresponding to the test questions searched by users from a big database; confirming the difficulty coefficient of the questions by a preset algorithm according to the searched answer accuracy; recommending the learning content corresponding to the difficulty coefficient according to the difficulty coefficient. The method can help users to learn and improve the learning efficiency.

Description

technical field [0001] The invention belongs to the technical field of intelligent recommendation, and in particular relates to a learning content recommendation method, device and intelligent equipment. Background technique [0002] At present, there are more and more learning clients (also referred to as learning applications) on the market, and students can continue extracurricular learning by watching learning clients play test questions or video courses. Some topic-searching APPs (Applications) recommend other content based on the content of the topic that the user searches after the user searches for a topic, for example, recommending similar topics with the same knowledge points as the topic, or recommending explanations through knowledge points The video of this knowledge point, but this largely ignores the user's own learning ability and understanding ability, because the same knowledge point also has different levels of difficulty. The recommended video course is d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q50/20
CPCG06F16/9535G06Q50/205
Inventor 龙安忠
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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