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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Neel, S.: Online Trust and Reputation Systems. In: Proceedings of the 8th ACM conference on Electronic commerce, pp. 366–367. ACM Press, New York (2007)
Wei, C., Qingtian, Z., Wenyin, L.: A User Reputation Model for a User-Interactive Question Answering System. In: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid, pp. 40–45. IEEE Computer Society, Washington (2006)
Xiaoming, X., Zhendong, N., Rongjian, L.: An Agent Based Analysis of Study Information in E – learning. J. New Technology of Library and Information Service 05, 33–36 (2005)
Feng, H., Zhendong, N., Dou, M.: The Design of a Knowledge - based Web Testing Environment. J. New Technology of Library and Information Service 08, 65–68 (2005)
Lizhe, S., Zhendong, N., Hantao, S., Zhengtao, Y., Xuelin, S.: Study on the User Profile of Personalized Service in Digital Library. J. Journal of Beijing Institute of Technology 01, 58–62 (2005)
Zaiqing, N., Yuanzhi, Z., Ji-Rong, W., Wei-Ying, M.: Object-level Ranking: Bringing Order to web Objects. In: Proceedings of the 14th international World Wide Web Conference, pp. 567–574 (2005)
Resnick, P., Zeckhauser, R., Friedman, R., Kuwabara, K.: Reputation Systems. J. Communications of the ACM 12, 45–48 (2000)
Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The EigenTrust Algorithm for Reputation Management in P2P Networks. In: Proceedings of the Twelfth International World Wide Web Conference, Budapest (2003)
Resnick, P., Zeckhauser, R., Swanson, J., Lockwood, K.: The Value of Reputation on eBay. J. Experimental Economics 02, 79–101 (2006)
Google Answers, http://answers.google.com/
Jøsang, A., Ismail, R., Boyd, C.: A Survey of Trust and Reputation System. J. Online Service Provision, Decision Support System 02, 619–644 (2005)
Yahoo! Answers, http://answers.yahoo.com/
Alfarez, A.R., Stephen, H.: Supporting Trust in Virtual Communities. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, IEEE Computer Society, Los Alamitos (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jin, F., Niu, Z., Zhang, Q., Lang, H., Qin, K. (2008). A User Reputation Model for DLDE Learning 2.0 Community. In: Buchanan, G., Masoodian, M., Cunningham, S.J. (eds) Digital Libraries: Universal and Ubiquitous Access to Information. ICADL 2008. Lecture Notes in Computer Science, vol 5362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89533-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-540-89533-6_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89532-9
Online ISBN: 978-3-540-89533-6
eBook Packages: Computer ScienceComputer Science (R0)