A User Reputation Model for DLDE Learning 2.0 Community

Authors:
Fusheng Jin;Zhendong Niu;Quanxin Zhang;Haiyang Lang;Kai Qin
Affiliations:
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 100081 and School of Software, Beijing Institute of Technology, Beijing, China 100081;School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 100081;School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 100081;School of Software, Beijing Institute of Technology, Beijing, China 100081;School of Software, Beijing Institute of Technology, Beijing, China 100081
Venue:
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
Year:
2008

Citing 7
Cited 1

Reputation systems

Communications of the ACM
The Eigentrust algorithm for reputation management in P2P networks

WWW '03 Proceedings of the 12th international conference on World Wide Web
Supporting Trust in Virtual Communities

HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Object-level ranking: bringing order to Web objects

WWW '05 Proceedings of the 14th international conference on World Wide Web
A User Reputation Model for a User-Interactive Question Answering System

SKG '06 Proceedings of the Second International Conference on Semantics, Knowledge, and Grid
A survey of trust and reputation systems for online service provision

Decision Support Systems
Online trust and reputation systems

Proceedings of the 8th ACM conference on Electronic commerce

SocialX: Reputation Based Support to Social Collaborative Learning Through Exercise Sharing and Project Teamwork

International Journal of Information Systems and Social Change

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.