GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Semiring-based constraint satisfaction and optimization
Journal of the ACM (JACM)
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
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Electronic Commerce Research
Interactive Critiquing forCatalog Navigation in E-Commerce
Artificial Intelligence Review
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Diverse Product Recommendations Using an Expressive Language for Case Retrieval
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Making Rational Decisions Using Adaptive Utility Elicitation
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A POMDP formulation of preference elicitation problems
Eighteenth national conference on Artificial intelligence
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Evaluating example-based search tools
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Integrating tradeoff support in product search tools for e-commerce sites
Proceedings of the 6th ACM conference on Electronic commerce
IEEE Transactions on Knowledge and Data Engineering
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Finding diverse and similar solutions in constraint programming
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Optimal recommendation sets: covering uncertainty over user preferences
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
ExpertClerk: navigating shoppers' buying process with the combination of asking and proposing
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Regret-based utility elicitation in constraint-based decision problems
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
A live-user evaluation of incremental dynamic critiquing
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Hybrid critiquing-based recommender systems
Proceedings of the 12th international conference on Intelligent user interfaces
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
Influence-based collaborative active learning
Proceedings of the 2007 ACM conference on Recommender systems
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
User-controllable learning of security and privacy policies
Proceedings of the 1st ACM workshop on Workshop on AISec
Using mobile preference-based searching to improve tourism decision support
Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology
Preference-based search with adaptive recommendations
AI Communications - Recommender Systems
Case-studies on exploiting explicit customer requirements in recommender systems
User Modeling and User-Adapted Interaction
Argument Schemes and Critical Questions for Decision Aiding Process
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Interaction design guidelines on critiquing-based recommender systems
User Modeling and User-Adapted Interaction
Regret-based optimal recommendation sets in conversational recommender systems
Proceedings of the third ACM conference on Recommender systems
Preference elicitation with subjective features
Proceedings of the third ACM conference on Recommender systems
Proceedings of the third ACM conference on Recommender systems
The complexity of learning separable ceteris paribus preferences
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Experiments on the preference-based organization interface in recommender systems
ACM Transactions on Computer-Human Interaction (TOCHI)
The effect of preference elicitation methods on the user experience of a recommender system
CHI '10 Extended Abstracts on Human Factors in Computing Systems
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Assessing regret-based preference elicitation with the UTPREF recommendation system
Proceedings of the 11th ACM conference on Electronic commerce
A-POInter: an adaptive mobile tourist guide
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Preference elicitation in prioritized skyline queries
The VLDB Journal — The International Journal on Very Large Data Bases
PTIME: Personalized assistance for calendaring
ACM Transactions on Intelligent Systems and Technology (TIST)
SkyMap: a trie-based index structure for high-performance skyline query processing
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Interactive multi-party critiquing for group recommendation
Proceedings of the fifth ACM conference on Recommender systems
A user interaction model based on the principle of polyrepresentation
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Critiquing-based recommenders: survey and emerging trends
User Modeling and User-Adapted Interaction
Minimally complete recommendations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
Generating diverse plans to handle unknown and partially known user preferences
Artificial Intelligence
International Journal of Handheld Computing Research
Inferring user utility for query revision recommendation
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Learning to question: leveraging user preferences for shopping advice
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for enabling users to incrementally construct preference models by critiquing example options that are presented to them. We present novel techniques for improving the example-critiquing technology by adding suggestions to its displayed options. Such suggestions are calculated based on an analysis of users' current preference model and their potential hidden preferences. We evaluate the performance of our model-based suggestion techniques with both synthetic and real users. Results show that such suggestions are highly attractive to users and can stimulate them to express more preferences to improve the chance of identifying their most preferred item by up to 78%.