DocumentCode
480421
Title
Learning Resources Recommendation System Based on Education Blog
Author
LIU, Liqun
Author_Institution
Guangdong Ocean Univ., Zhanjiang, China
Volume
5
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
805
Lastpage
807
Abstract
Writing and browsing education blogs has become one of the important methods of e-learning. Learners can search the interesting resources from these education blogs. However, the traditional blog search only provides keyword-based matching, lacking automatic extraction of learner interests and further interest-related blog recommendation. It describes the design and implementation of an interest mining and learning resources recommendation system. The system adopts interest mining technology and can automatically identify the learner¿s interests and recommend interest-related blog initiatively. Experimental result shows that the system is effective.
Keywords
Web sites; computer aided instruction; data mining; information filters; e-learning; education blog; interest mining technology; keyword-based matching; lacking automatic extraction; learning resources recommendation system; Classification tree analysis; Computer science; Computer science education; Electronic learning; Equations; Information services; Internet; Software engineering; Systems engineering education; Web sites; blog; data mining; e-learning; resources recommendation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.62
Filename
4723025
Link To Document