Electronic Commerce Research
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
RABBIT: An interface for database access
ACM '82 Proceedings of the ACM '82 conference
Empirical research in on-line trust: a review and critical assessment
International Journal of Human-Computer Studies - Special issue: Trust and technology
Evaluating example-based search tools
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Experiments in dynamic critiquing
Proceedings of the 10th international conference on Intelligent user interfaces
Integrating tradeoff support in product search tools for e-commerce sites
Proceedings of the 6th ACM conference on Electronic commerce
Hybrid critiquing-based recommender systems
Proceedings of the 12th international conference on Intelligent user interfaces
The evaluation of a hybrid critiquing system with preference-based recommendations organization
Proceedings of the 2007 ACM conference on Recommender systems
A visual interface for critiquing-based recommender systems
Proceedings of the 9th ACM conference on Electronic commerce
Constraint-based recommender systems: technologies and research issues
Proceedings of the 10th international conference on Electronic commerce
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
Critique graphs for catalogue navigation
Proceedings of the 2008 ACM conference on Recommender systems
Preference-based search with adaptive recommendations
AI Communications - Recommender Systems
Interaction design guidelines on critiquing-based recommender systems
User Modeling and User-Adapted Interaction
How Users Perceive and Appraise Personalized Recommendations
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Critiquing recommenders for public taste products
Proceedings of the third ACM conference on Recommender systems
Experiments on the preference-based organization interface in recommender systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the 16th international conference on Intelligent user interfaces
Contracting preference relations for database applications
Artificial Intelligence
Design and evaluation of a command recommendation system for software applications
ACM Transactions on Computer-Human Interaction (TOCHI)
Towards three-stage recommender support for online consumers: implications from a user study
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Critiquing-based recommenders: survey and emerging trends
User Modeling and User-Adapted Interaction
The Tag Genome: Encoding Community Knowledge to Support Novel Interaction
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
Understanding buyers' social information needs during purchase decision process
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
ReComment: towards critiquing-based recommendation with speech interaction
Proceedings of the 7th ACM conference on Recommender systems
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We describe a user study evaluating two critiquing-based recommender agents based on three criteria: decision accuracy. decision effort, and user confidence. Results show that user-motivated critiques were more frequently applied and the example critiquing system employing only this type of critiques achieved the best results. In particular, the example critiquing agent significantly improves users' decision accuracy with less cognitive effort consumed than the dynamic critiquing recommender with system-proposed critiques. Additionally, the former is more likely to inspire users' confidence of their choice and promote their intention to purchase and return to the agent for future use.