Online course recommendation method and device, electronic equipment and storage medium

A recommendation method and course technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of not being able to meet the needs of new users, and achieve the effect of improving experience satisfaction and achieving accuracy

Pending Publication Date: 2021-01-12
PINGAN INT SMART CITY TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, an online course recommendation method, device, electronic device and storage med

Method used

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  • Online course recommendation method and device, electronic equipment and storage medium
  • Online course recommendation method and device, electronic equipment and storage medium
  • Online course recommendation method and device, electronic equipment and storage medium

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Embodiment Construction

[0053] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0054] refer to figure 1 , which shows a flow chart of the steps of an embodiment of an online course recommendation method of the present application, which may specifically include the following steps:

[0055] S100. Obtain current user identity features, where the current user identity features include but not limited to basic information and feature information;

[0056] S200, finding a historical user whose basic information and / or feature information is the same as or similar to that of the current user;

[0057]S300. Find out the predicted course corresponding to the identity feature of the historical user through the preset course prediction model, determine it as the predicted course result, an...

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Abstract

The invention belongs to the field of smart cities and can be applied to the technical field of smart education. The invention provides an online course recommendation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the identity features of a current user, wherein the identity features of the current user comprise but not to be limited tobasic information and feature information; searching a historical user which is the same as or similar to the basic information and/or the feature information of the current user; and searching a prediction course corresponding to the identity characteristics of the historical user through a preset course prediction model, determining the prediction course as a prediction course result, and recommending the prediction course result to the current user. Relational learning of user identity features and predicted courses is achieved through the learning ability of artificial intelligence, and the accuracy of course recommendation is achieved. The problem of cold start of a new user is solved by utilizing the pre-constructed user index tree, and the experience satisfaction of the user is improved according to the analysis of the real-time user behavior data.

Description

technical field [0001] This application relates to the field of big data technology, in particular to an online course recommendation method, device, electronic equipment and storage medium in the field of smart education. Background technique [0002] With the development of Internet technology, self-learning with the help of Internet platforms has become a common means for people to learn knowledge, effectively helping those learners who cannot participate in on-site teaching and learning due to various restrictions. [0003] Although, the independent learning method based on the Internet platform has brought convenience to people, allowing learners to learn by viewing relevant learning courses at any time and any place according to their own needs. However, at present, when learners conduct independent learning based on the Internet platform, the learning courses recommended by various learning websites are mostly recommended for learning by manual recommendation or simpl...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 刘静
Owner PINGAN INT SMART CITY TECH CO LTD
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