Open AccessCourse Recommendation Mechanism Based on Content Recommendation Method – Illustrated by the Example of “NetEase Cloud Classroom”
Author(s) -
Min Tan,
Maoguo Wu
Publication year - 2018
Publication title -
european scientific journal
Language(s) - English
Resource type - Journals
eISSN - 1857-7881
pISSN - 1857-7431
DOI - 10.19044/esj.2018.v14n19p167
Subject(s) - cloud computing , mechanism (biology) , computer science , maturity (psychological) , course (navigation) , recommender system , world wide web , engineering , aerospace engineering , psychology , developmental psychology , philosophy , epistemology , operating system
This paper analyzes NetEase Cloud Classroom in various aspects, including development and business environment of MOOCs, technological maturity, and the algorithm of the recommendation model and its feasibility. Among these aspects, this paper mainly gives a detailed analysis and explanation of the content-based course recommendation. The technology of course recommendation is relatively mature at present. Meanwhile, the content-based recommendation mechanism is also proved to be feasible to some extent. However, the drawbacks of the recommendation mechanism itself can still bring risks and restrictions to the sustainable development of NetEase Cloud Classroom.