Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
The Wasabi Personal Shopper: a case-based recommender system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning Subjective Functions with Large Margins
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Refining Conversational Case Libraries
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
On Abstract Models and Conversation Policies
Issues in Agent Communication
Machine Learning for Adaptive User Interfaces
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
An adaptive conversational interface for destination advice
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Knowledge-based navigation of complex information spaces
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Comparison-Based Recommendation
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ITR: A Case-Based Travel Advisory System
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Conversational Case-Based Planning for Agent Team Coordination
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Similarity-Based Approach to Attribute Selection in User-Adaptive Sales Dialogs
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A knowledge-intensive method for conversational CBR
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Supporting generalized cases in conversational CBR
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Improving the performance of recommender systems that use critiquing
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Evaluating CBR systems using different data sources: a case study
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Ontology-driven development of conversational CBR systems
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
The benefits of opening recommendation to human interaction
BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction
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In this paper, we describe the Adaptive Place Advisor, a user adaptive, conversational recommendation system designed to help users decide on a destination, specifically a restaurant. We view the selection of destinations as an interactive, conversational process, with the advisory system inquiring about desired item characteristics and the human responding. The user model, which contains preferences regarding items, attributes, values, value combinations, and diversification, is also acquired during the conversation. The system enhances the user's requirements with the user model and retrieves suitable items from a case-base. If the number of items found by the system is unsuitable (too high, too low) the next attribute to be constrained or relaxed is selected based on the information gain associated with the attributes. We also describe the current status of the system and future work.