Fast discovery of association rules
Advances in knowledge discovery and data mining
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
Experiments in dynamic critiquing
Proceedings of the 10th international conference on Intelligent user interfaces
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
Evaluating compound critiquing recommenders: a real-user study
Proceedings of the 8th ACM conference on Electronic commerce
A visual interface for critiquing-based recommender systems
Proceedings of the 9th ACM conference on Electronic commerce
Consumer Decision Making in Knowledge-Based Recommendation
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Consumer decision making in knowledge-based recommendation
Journal of Intelligent Information Systems
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Experience-Based critiquing: reusing critiquing experiences to improve conversational recommendation
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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Compound critiques allow users to simultaneously express directional preferences over several product attributes. Presenting the user with compound critiques is not a new idea. The original Find-Me Systems (e.g., Car Navigator) showed static compound critiques; they didn't change irrespective of user preferences or the product availability. Recently, a number of techniques for dynamically generating compound critiques have been proposed. While these techniques have been evaluated in isolation, to date no direct comparison of these (in terms of their interfacing characteristics and recommendation performance) has been reported. Motivated by this, our research groups have come together to carry out this comparison for the approaches we each take. The user study platform that we have developed facilitates the comparison of various critiquing based recommenders. In this paper we report the first set of results from a comprehensive real-user evaluation of two dynamic compound critique systems using this evaluation platform.