TY - GEN
T1 - A user reputation model for DLDE learning 2.0 community
AU - Jin, Fusheng
AU - Niu, Zhendong
AU - Zhang, Quanxin
AU - Lang, Haiyang
AU - Qin, Kai
PY - 2008
Y1 - 2008
N2 - With the development of digital library, social networks, and user-generated content, need for trust and reputation models become prime. In this paper, we propose a user reputation model. As an encouraging and sanctioning mechanism, it has been applied to the DLDE (Digital Library and Digital Education) Learning 2.0 Community that is developed by our lab based on digital repositories management etc. The model combines user's individual activity analysis approach and collaborative activity analysis approach. Individual activity analysis approach is used to analyze the activities in which users participate individually and give its evaluation method. Collaborative activity analysis approach is used to analyze users' collaborative activities; three different categories of users' collaborative activities and corresponding evaluation methods were proposed in this paper. Experiments show that the proposed reputation model can accomplish the mission of encouraging good behaviors and differentiating the ability of students. Therefore it can fit well in our Community.
AB - With the development of digital library, social networks, and user-generated content, need for trust and reputation models become prime. In this paper, we propose a user reputation model. As an encouraging and sanctioning mechanism, it has been applied to the DLDE (Digital Library and Digital Education) Learning 2.0 Community that is developed by our lab based on digital repositories management etc. The model combines user's individual activity analysis approach and collaborative activity analysis approach. Individual activity analysis approach is used to analyze the activities in which users participate individually and give its evaluation method. Collaborative activity analysis approach is used to analyze users' collaborative activities; three different categories of users' collaborative activities and corresponding evaluation methods were proposed in this paper. Experiments show that the proposed reputation model can accomplish the mission of encouraging good behaviors and differentiating the ability of students. Therefore it can fit well in our Community.
KW - Collaborative activity analysis
KW - DLDE learning 2.0 community
KW - Evaluation
KW - Individual activity analysis
KW - User peputation model
UR - http://www.scopus.com/inward/record.url?scp=58049128490&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89533-6_7
DO - 10.1007/978-3-540-89533-6_7
M3 - Conference contribution
AN - SCOPUS:58049128490
SN - 3540895329
SN - 9783540895329
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 61
EP - 70
BT - Digital Libraries
PB - Springer Verlag
T2 - 11th International Conference on Asian Digital Libraries, ICADL 2008
Y2 - 2 December 2008 through 5 December 2008
ER -