DocumentCode :
3758979
Title :
A Group Recommender System for Online Course Study
Author :
Ding Yanhui;Wang Dequan;Zhang Yongxin;Li Lin
Author_Institution :
Sch. of Inf. Sci. &
fYear :
2015
Firstpage :
318
Lastpage :
320
Abstract :
In this paper, a group recommender system for online course study (GRS-OCS) is presented. GRS-OCS makes full use of the historical information about course ratings and former learners. Both collaborative filtering and content-based filtering are incorporated in GRS-OCS. A preliminary evaluation has been conducted based on the real data of MOOC. Empirical evaluation and user survey demonstrate the efficacy and effectiveness of GRS-OCS.
Keywords :
"Recommender systems","Computer science","Collaboration","Training","Information technology"
Publisher :
ieee
Conference_Titel :
Information Technology in Medicine and Education (ITME), 2015 7th International Conference on
Type :
conf
DOI :
10.1109/ITME.2015.99
Filename :
7429156
Link To Document :
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