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IEEE Expert: Intelligent Systems and Their Applications
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Designing example-critiquing interaction
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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
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Evaluating critiquing-based recommender agents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
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AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Substitutes or complements: another step forward in recommendations
Proceedings of the 10th ACM conference on Electronic commerce
Critiquing-based recommenders: survey and emerging trends
User Modeling and User-Adapted Interaction
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Proceedings of the sixth ACM conference on Recommender systems
Smallworlds: visualizing social recommendations
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
A field study of a visual controllable talk recommender
Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
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Critiquing-based recommender systems provide an efficient way for users to navigate through complex product spaces even if they are not familiar with the domain details in e-commerce environments. While recent researchers have mainly concentrated on methods for generating high quality compound critiques, to date there has been a lack of comprehensive investigation on the interface design issues. Traditionally the interface is textual, which shows compound critiques in plain text and may not be easily understood. In this paper we propose a new visual interface which represents various critiques by a set of meaningful icons. Results from our real-user evaluation show that the visual interface can improve the performance of critique-based recommenders by attracting users to apply the compound critiques more frequently and reducing users' interaction effort substantially when the product domain is complex. Users' subjective feedback also shows that the visual interface is highly promising in enhancing users' shopping experience.