Fast discovery of association rules
Advances in knowledge discovery and data mining
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
Automatically personalizing user interfaces
IJCAI'03 Proceedings of the 18th 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
Knowledge-based navigation of complex information spaces
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
Group recommender systems: a critiquing based approach
Proceedings of the 11th international conference on Intelligent user interfaces
Increasing user decision accuracy using suggestions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Hybrid critiquing-based recommender systems
Proceedings of the 12th international conference on Intelligent user interfaces
Toward harnessing user feedback for machine learning
Proceedings of the 12th international conference on Intelligent user interfaces
A comparison of two compound critiquing systems
Proceedings of the 12th international conference on Intelligent user interfaces
Evaluating compound critiquing recommenders: a real-user study
Proceedings of the 8th ACM conference on Electronic commerce
International Journal of Electronic Commerce
Trust-inspiring explanation interfaces for recommender systems
Knowledge-Based Systems
Conversational recommenders with adaptive suggestions
Proceedings of the 2007 ACM conference on Recommender systems
The evaluation of a hybrid critiquing system with preference-based recommendations organization
Proceedings of the 2007 ACM conference on Recommender systems
Evaluating product search and recommender systems for E-commerce environments
Electronic Commerce Research
Integrating rich user feedback into intelligent user interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
A visual interface for critiquing-based recommender systems
Proceedings of the 9th ACM conference on Electronic commerce
Mixed-Initiative Relaxation of Constraints in Critiquing Dialogues
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A cross-cultural user evaluation of product recommender interfaces
Proceedings of the 2008 ACM conference on Recommender systems
A collaborative constraint-based meta-level recommender
Proceedings of the 2008 ACM conference on Recommender systems
Discovery-oriented collaborative filtering for improving user satisfaction
Proceedings of the 14th international conference on Intelligent user interfaces
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
Interaction design guidelines on critiquing-based recommender systems
User Modeling and User-Adapted Interaction
Evaluating critiquing-based recommender agents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A Value Supplementation Method for Case Bases with Incomplete Information
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
On the evaluation of dynamic critiquing: a large-scale user study
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
The ins and outs of critiquing
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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
Preference based feedback for collaborative image retrieval
Proceedings of the 3rd international workshop on Collaborative information retrieval
A hybrid similarity concept for browsing semi-structured product items
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Persuasive online-selling in quality and taste domains
EC-Web'06 Proceedings of the 7th international conference on E-Commerce and Web Technologies
Completeness criteria for retrieval in recommender systems
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
What evaluation criteria are right for CCBR? considering rank quality
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
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Evaluating the effectiveness of explanations for recommender systems
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
COPE: interactive image retrieval using conversational recommendation
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies
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Conversational recommender systems are commonly used to help users to navigate through complex product-spaces by alternatively making product suggestions and soliciting user feedback in order to guide subsequent suggestions. Recently, there has been a surge of interest in developing effective interfaces that support user interaction in domains of limited user expertise. Critiquing has proven to be a popular and successful user feedback mechanism in this regard, but is typically limited to the modification of single features. We review a novel approach to critiquing, dynamic critiquing, that allows users to modify multiple features simultaneously by choosing from a range of so-called compound critiques that are automatically proposed based on their current position within the product-space. In addition, we introduce the results of an important new live-user study that evaluates the practical benefits of dynamic critiquing.