Online exercise personalized recommendation system based on machine learning algorithm

Abstract

The invention discloses an online exercise personalized recommendation system based on a machine learning algorithm, and the system comprises a question selection module which comprises an automatic question selection module and a manual question selection module, the automatic question selection module employs an algorithm to automatically output a selected question set, and the manual selected question is autonomously selected by a user; the online learning knowledge base comprises learning resources such as exercises, test papers, hearing materials and online lesson videos, and the knowledge base comprises a learning resource feature extraction algorithm; learning a resource feature extraction algorithm: using a machine learning algorithm to obtain a hiding rule contained in the data set; and the recommendation engine is used for inferring knowledge mastering conditions and weak points of the user according to user behaviors by using a machine learning technology and matching learning resources suitable for the user from the knowledge base, and the recommendation engine comprises a user portrait algorithm and a recommendation algorithm. According to the invention, exercises can be recommended in a targeted manner for user knowledge weak points and pain points, the time is efficiently utilized, and the learning efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation system for online exercises, in particular to a personalized recommendation system for online exercises based on machine learning algorithms. Background technique [0002] With the rapid development of social economy, machine learning is a branch of artificial intelligence, which learns the general laws behind the data through massive data and powerful computer computing power to realize artificial intelligence; The technology of providing personalized information is currently widely used in e-commerce, social networking and other fields; online education is a network-based educational behavior, which uses information technology and Internet technology for content dissemination and rapid learning, a representative online education Platforms include NetEase Cloud Classroom, Cool Learning, etc. Representative online education mobile applications include Homework Help, Ape Tutorin...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a personalized recommendation system for online exercises based on machine learning algorithms, to solve the existing online education platforms and mobile applications proposed in the above-mentioned background technology, which have a large amount of information, complicated systems, and poor pertinence. Lack of personalized learning guidance and other defects and other issues

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