Enriching buyers' experiences: the SmartClient approach
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Intelligent profiling by example
Proceedings of the 6th international conference on Intelligent user interfaces
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
reality: a scalable intelligent travel planner
Proceedings of the 2003 ACM symposium on Applied computing
Toward case-based preference elicitation: similarity measures on preference structures
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Problem-focused incremental elicitation of multi-attribute tility models
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Effective Interaction Principles for Online Product Search Environments
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
International Journal of Electronic Commerce
Trust-inspiring explanation interfaces for recommender systems
Knowledge-Based Systems
A visual interface for critiquing-based recommender systems
Proceedings of the 9th ACM conference on Electronic commerce
User-controllable learning of security and privacy policies
Proceedings of the 1st ACM workshop on Workshop on AISec
Capturing Social Networking Privacy Preferences
PETS '09 Proceedings of the 9th International Symposium on Privacy Enhancing Technologies
On the evaluation of dynamic critiquing: a large-scale user study
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
On graphical modeling of preference and importance
Journal of Artificial Intelligence Research
Experiments on the preference-based organization interface in recommender systems
ACM Transactions on Computer-Human Interaction (TOCHI)
The adaptive web
Intelligent tagging interfaces: beyond folksonomy
UIST '10 Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology
Proceedings of the 16th international conference on Intelligent user interfaces
User-centered design of preference elicitation interfaces for decision support
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Design and evaluation of a command recommendation system for software applications
ACM Transactions on Computer-Human Interaction (TOCHI)
Towards compositional design and evaluation of preference elicitation interfaces
HCD'11 Proceedings of the 2nd international conference on Human centered design
A comparative study of compound critique generation in conversational recommender systems
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
A live-user evaluation of incremental dynamic critiquing
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
The needs of the many: a case-based group recommender system
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Critiquing-based recommenders: survey and emerging trends
User Modeling and User-Adapted Interaction
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
See what you want to see: visual user-driven approach for hybrid recommendation
Proceedings of the 19th international conference on Intelligent User Interfaces
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In many practical scenarios, users are faced with the problem of choosing the most preferred outcome from a large set of possibilities. As people are unable to sift through them manually, decisions support systems are often used to automatically find the optimal solution. A crucial requirement for such a system is to have an accurate model of the user's preferences.Studies have shown that people are usually unable to accurately state their preferences up front, but are greatly helped by seeing examples of actual solutions. Thus, several researchers have proposed preference elicitation strategies based on example critiquing. The essential design question in example critiquing is what examples to show users in order to best help them locate their most preferred solution.In this paper, we analyze this question based on two requirements. The first is that it must stimulate the user to express further preferences by showing the range of alternatives available. The second is that the examples that are shown must contain the solution that the user would consider optimal if the currently expressed preference model was complete so that he select it as a final solution.