Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Communications of the ACM
Recommender systems for evaluating computer messages
Communications of the ACM
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Introducing domain specific ad-hoc collaboration: The peer-to-peer tool iKnow
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Evolution of e-commerce Web sites: A conceptual framework and a longitudinal study
Information and Management
Agent-mediated knowledge sharing for intelligent services management
Information Systems Frontiers
The Case for Fairness of Trust Management
Electronic Notes in Theoretical Computer Science (ENTCS)
Improving the Amazon Review System by Exploiting the Credibility and Time-Decay of Public Reviews
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Rater Credibility Assessment in Web Services Interactions
World Wide Web
A phenotype reputation estimation function and its study of resilience to social attacks
Journal of Network and Computer Applications
RATEWeb: Reputation Assessment for Trust Establishment among Web services
The VLDB Journal — The International Journal on Very Large Data Bases
Towards a global online reputation
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Evaluating rater credibility for reputation assessment of web services
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
A mechanism that provides incentives for truthful feedback in peer-to-peer systems
Electronic Commerce Research
Electrostatic force method: trust management method inspired by the laws of physics
TrustBus'11 Proceedings of the 8th international conference on Trust, privacy and security in digital business
Systematic analysis of centralized online reputation systems
Decision Support Systems
Trust evaluation initialization using contextual information
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
The sound of silence: mining implicit feedbacks to compute reputation
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
New algorithms for mining the reputation of participants of online auctions
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Cluster-Based analysis and recommendation of sellers in online auctions
TrustBus'06 Proceedings of the Third international conference on Trust, Privacy, and Security in Digital Business
Decentralized reputation-based trust for assessing agent reliability under aggregate feedback
Trusting Agents for Trusting Electronic Societies
Intelligent reputation assessment for participants of web-based customer-to-customer auctions
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
A social reputation management for web communities
WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management
Measuring the Importance of Users in a Social Network Based on Email Communication Patterns
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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Individuals who use the World Wide Web (WWW) to purchase goods and obtain information face a high level of uncertainty as to the quality of those goods and information. Reputation management systems are one way in which information about past transactions can be used to form judgments regarding the quality of goods and information obtained via the WWW. This paper examines current approaches used in reputation management systems and outlines six main problems with them. The paper suggests how these problems can be solved and develops an equation that can handle many of the problems. Implications for practitioners and researchers are discussed.