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
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
RABBIT: An interface for database access
ACM '82 Proceedings of the ACM '82 conference
Evaluating example-based search tools
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Effective Interaction Principles for Online Product Search Environments
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Experiments in dynamic critiquing
Proceedings of the 10th international conference on Intelligent user interfaces
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Integrating tradeoff support in product search tools for e-commerce sites
Proceedings of the 6th ACM conference on Electronic commerce
Optimal recommendation sets: covering uncertainty over user preferences
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
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
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
Knowledge-based navigation of complex information spaces
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Implementing example-based tools for preference-based search
ICWE '06 Proceedings of the 6th international conference on Web engineering
Supporting product selection with query editing recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
Elicitation of profile attributes by transparent communication
Proceedings of the 2007 ACM conference on Recommender systems
Enhancing the diversity of conversational collaborative recommendations: a comparison
Artificial Intelligence Review
Preference-based search with adaptive recommendations
AI Communications - Recommender Systems
Bridging gaps by cooperation engineering
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Improving Decision Quality Through Preference Relaxation
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Design and implementation of preference-based search
WISE'06 Proceedings of the 7th international conference on Web Information Systems
The lookahead principle for preference elicitation: experimental results
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
International Journal of Handheld Computing Research
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The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a reasonable amount of time. Recommender systems address this problem by searching for options based on a model of the user's preferences. We consider example critiquing as a methodology for mixed-initiative recommender systems. In this technique, users volunteer their preferences as critiques on examples. It is thus important to stimulate their preference expression by selecting the proper examples, called suggestions. We describe the look-ahead principle for suggestions and describe several suggestion strategies based on it. We compare them in simulations and, for the first time, report a set of user studies which prove their effectiveness in increasing users' decision accuracy by up to 75%.