Learning content recommendation method and system

Abstract

The invention belongs to the field of education products, and discloses a learning content recommendation method and system, and the method comprises the steps: generating a standard knowledge map according to the learning record information of a large number of users; Obtaining personal information of a user and a learning browsing record of the user; Creating a personal knowledge map of the useraccording to the personal information of the user, the learning browsing record of the user and the standard knowledge map; And recommending learning contents to the user according to the personal knowledge graph and the standard knowledge graph of the user. The method comprises the following steps: firstly, generating a standard knowledge graph according to acquired learning record information of mass users; generating a personal knowledge map of the user according to the learning browsing record and the standard knowledge map of the user; and finally, obtaining knowledge points which are not mastered by the user according to the personal knowledge map and the standard knowledge map of the user, and recommending learning contents related to the knowledge points which are not mastered tothe user so as to achieve the purposes of accurately obtaining learning requirements of the user and recommending the related learning contents to the user.

Description

technical field [0001] The invention belongs to the technical field of educational products, and in particular relates to a learning content recommendation method and system. Background technique [0002] With the rapid development of smart terminals and network technology, the way of using smart mobile terminals for mobile learning is gradually being valued by people, and mobile learning as a new learning method will become an important learning method and means in modern society . [0003] At present, in order to facilitate mobile learning for different types of users, a large number of different types of learning content are included in smart learning devices; however, with the increase in the type and quantity of learning content, users need to spend a lot of time and energy on massive learning content. Find the learning content you are interested in and need, which leads to low efficiency and accuracy in finding learning content, thus affecting the user experience. C...

AI Technical Summary

Problems solved by technology

[0003] At present, in order to facilitate mobile learning for different types of users, a large number of different types of learning content are included in smart learning devices; however, with the increase in the type and quantity of learning content, users need to spend a lot of time and energy on massive learning content. Find the learning content you are interested in and need, resulting in low efficiency and accuracy of learning content search, which affects the user experience

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