A Nearest Hyperrectangle Learning Method
Machine Learning
Case-based reasoning
Reasoning with complex cases
Conversational Case-Based Reasoning
Applied Intelligence
Interactive Case-Based Reasoning in Sequential Diagnosis
Applied Intelligence
Artificial Intelligence Review
Personalized Conversational Case-Based Recommendation
EWCBR '00 Proceedings of the 5th European Workshop 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
Similarity Assessment for Generalizied Cases by Optimization Methods
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Activating CBR Systems Through Autonomous Information Gathering
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Taxonomic Conversational Case-Based Reasoning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
minimizing dialog length in interactive case-based reasoning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
An investigation of generalized cases
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
The feature selection problem: traditional methods and a new algorithm
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
A knowledge-intensive method for conversational CBR
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Component retrieval using knowledge-intensive conversational CBR
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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Conversational Case-Based Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to refine their problem descriptions incrementally through a question-answering sequence. Most CCBR approaches assume that there is at most one discrete value on each feature. While a generalized case (GC), which has been proposed and used in traditional CBR processes, has multiple values on some features. Motivated by the conversational software component retrieval application, we focus on the problem of extending CCBR to support GCs in this paper. This problem is tackled from two aspects: similarity measuring and discriminative question ranking.