Comparison-Based Recommendation
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
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
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
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Anecdotal evidence suggests that while real-world customer-buying models can be translated for online e-commerce scenarios, perhaps they should not be (because of the effort these models impose on the user). Currently the vast majority of recommender systems require the user to engage in a lengthy dialogue of information elicitation in order to locate the best product/service for them. We suggest that such lengthy dialogues are inappropriate in many e-commerce settings, and that alternative models are needed that minimise the cost to the user, while maintaining recommendation quality.