Online learning mining method, device, online learning system and server

Abstract

The embodiment of the invention provides an online learning mining method and device, an online learning system and a server. The method includes: carrying out style feature extraction and content feature extraction on an online learning recommendation result; determining to carry out parallel mapping mining on style feature extraction information and content feature extraction information of theonline learning recommendation model; therefore, the online learning mining result can be effectively mined from the online learning recommendation result; therefore, the online learning platform canrefer to the online learning mining result to carry out subsequent recommended content emphasis layout; therefore, the situation that the recommendation content updated by the online learning platformcannot be subsequently recommended to the majority of student users in a targeted manner, and the recommendation content really required by the majority of student users may not be updated in time oris updated too little is improved, and the information recommendation experience is improved.

Description

technical field [0001] The present application relates to the technical field of big data analysis and information recommendation, and specifically relates to an online learning mining method, device, online learning system and server. Background technique [0002] With the rapid development of Internet technology, by establishing an online learning platform on the Internet, many students and users can learn extensively through the Internet. In the traditional solution, in order to improve the learning experience of college users, the online learning platform usually collects the learning behaviors of the students during the learning process, and after big data analysis of the learning behaviors, it is matched with multiple online learning recommendation models. The student user is associated with the corresponding online learning recommendation model for subsequent online learning mining. [0003] For the online learning platform, different online learning recommendation m...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of this application is to provide an online learning mining method, device, online learning system and server, which can effectively mine online learning mining results from online learning recommendation results, so that online learning platforms can refer to the online learning mining As a result, the follow-up recommended content layout is focused on, thereby improving the situation that the updated recommended content of the online learning platform cannot be recommended to the majority of students in a targeted manner, and the recommended content that the majority of students really need may not be updated in time or the updated content is too small. , improve information recommendation experience

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