Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pointing the way: active collaborative filtering
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Feature Weighting by Explaining Case-Based Planning Episodes
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Building Compact Competent Case-Bases
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Maintaining Unstructured Case Base
ICCBR '97 Proceedings of the Second 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
When Experience Is Wrong: Examining CBR for Changing Tasks and Environments
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Categorizing Case-Base Maintenance: Dimensions and Directions
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Dynamic refinement of feature weights using quantitative introspective learning
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Remembering to add: competence-preserving case-addition policies for case-base maintenance
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Using introspective reasoning to refine indexing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Developing and deploying knowledge on a global scale
IAAI'96 Proceedings of the eighth annual conference on Innovative applications of artificial intelligence
Collaborative Maintenance in ULYSSES
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Automated case base creation and management
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Experience management with case-based assistant systems
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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Case-base maintenance is an important emerging issue for case-base reasoners as they scale-up to handle real-world problems in unstable environments. Overtime the contents of a case-base may become out-of-date or inconsistent with the current target problem space, and maintenance strategies must be devised to help recognise and repair these problems, by deleting, adding, or modifying cases, for example. In this paper we describe a maintenance framework called collaborative maintenance (CM), which has been designed to facilitate, monitor, and control the incremental up-date of live, dynamic case-bases. Our approach is novel in that it automatically supports a distributed, interactive maintenance process - users are permitted to recommend case updates and the collaborative maintenance process ensures that these recommendations are properly reviewed and actioned.