Title
Topic-Specific Recommendation for Open Education Resources.
Abstract
Most of the Open Educational Resources are scattered around the Web, and not well described and structured so causing huge problems in their use, search, organization and management. We present a system which can collect and analyze domain-specific contents from massive online learning materials and publications, and automatically identify domain-specific knowledge terms and aggregate them into well-organized topics. The system helps learners who want to learn cutting-edge technology to effectively and efficiently locate appropriate online courses and learning materials using topic-specific recommendation. We further examines the system with real-world data and applications.
Year
Venue
Field
2015
ICWL
Online learning,Open education,Computer science,Knowledge management,Open educational resources,Multimedia
DocType
Citations 
PageRank 
Conference
2
0.48
References 
Authors
4
3
Name
Order
Citations
PageRank
Jun Wang138.66
Junfu Xiang220.82
Kanji Uchino3113.13