Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Choosing reputable servents in a P2P network
Proceedings of the 11th international conference on World Wide Web
Disseminating Trust Information in Wearable Communities
Personal and Ubiquitous Computing
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Evaluation and Design of Online Cooperative Feedback Mechanisms for Reputation Management
IEEE Transactions on Knowledge and Data Engineering
Task delegation using experience-based multi-dimensional trust
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
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
Trust-aware recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Hedaquin: A Reputation-based Health Data Quality Indicator
Electronic Notes in Theoretical Computer Science (ENTCS)
Alternative Formulas for Rating Prediction Using Collaborative Filtering
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Factor in the neighbors: Scalable and accurate collaborative filtering
ACM Transactions on Knowledge Discovery from Data (TKDD)
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Optimal Windows for Aggregating Ratings in Electronic Marketplaces
Management Science
Recommender Systems Handbook
Designing aggregation mechanisms for reputation systems in online marketplaces
ACM SIGecom Exchanges
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The choice of a product or a service is often influenced by its reputation, which is usually calculated from existing reviews of this product or service. A review can be either objective, for instance when referring to concrete features of a product, or subjective, for instance when referring to the feeling of the reviewer about one aspect. Subjective reviews are potentially biased by the characteristics of the reviewers, and therefore two subjective reviews should not be treated equally. We propose in this paper a model of reputation compensating the subjective bias of di?erent categories of reviewers. We firstly calculate this bias by analyzing the ratio between reviews coming from different categories, and then we project a subjective reputation for a given category of reviewer. We demonstrate the accuracy of our bias calculation with an experimentation on public reviews for hotels, and two specific categories of users.