Collaborative reputation mechanisms for electronic marketplaces
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
Computing and using reputations for internet ratings
Proceedings of the 3rd ACM conference on Electronic Commerce
Extracting reputation in multi agent systems by means of social network topology
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Enhancing reputation mechanisms via online social networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Proceedings of the 10th international conference on Intelligent user interfaces
Taxonomy of trust: categorizing P2P reputation systems
Computer Networks: The International Journal of Computer and Telecommunications Networking - Management in peer-to-peer systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
A Computational Distributed Reputation Model for B2C E-commerce
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
On desideratum for B2C E-commerce reputation systems
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
Sequence-based trust in collaborative filtering for document recommendation
International Journal of Human-Computer Studies
Journal of Network and Computer Applications
Collaboration-based medical knowledge recommendation
Artificial Intelligence in Medicine
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
Novel personal and group-based trust models in collaborative filtering for document recommendation
Information Sciences: an International Journal
Knowledge-Based Systems
| Hi-index | 12.05 |
The consumer is an important information source and the after-transaction-feedback is used as the quality indicator for trust building in e-commerce. However, the possibility of incorrect information from unreliable users and declining trust in the electronic market looms large. Hence, there is a need for a fairer and more objective reputation mechanism. Most existing reputation systems focus on the reputation of users than items and they rely on explicit feedback information. As a solution to these problems, we propose a reputation system (''Q-rater'') suitable for B2C e-commerce. We adopt the source credibility theory of consumer psychology and the basic mechanism of collaborative filtering methods for the overall process of the proposed reputation system. We also evaluate performance of the Q-rater experimentally by comparing it with the other benchmark systems and observing the performance changes with variations in the size of rater group and item rating aggregation mechanism.