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 :
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