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» A Case-Based Explanation System for Black-Box Systems
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AIR
2005
102views more  AIR 2005»
13 years 4 months ago
A Case-Based Explanation System for Black-Box Systems
Most users of machine-learning products are reluctant to use the systems without any sense of the underlying logic that has led to the system's predictions. Unfortunately many...
Conor Nugent, Padraig Cunningham
CSCW
2000
ACM
13 years 9 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
AIR
2005
97views more  AIR 2005»
13 years 4 months ago
Explanation in Case-Based Reasoning-Perspectives and Goals
Abstract. We present an overview of different theories of explanation from the philosophy and cognitive science communities. Based on these theories, as well as models of explanati...
Frode Sørmo, Jörg Cassens, Agnar Aamod...
ICCBR
2003
Springer
13 years 10 months ago
An Evaluation of the Usefulness of Case-Based Explanation
: One of the perceived benefits of Case-Based Reasoning (CBR) is the potential to use retrieved cases to explain predictions. Surprisingly, this aspect of CBR has not been much res...
Padraig Cunningham, Dónal Doyle, John Lough...
ICCBR
2007
Springer
13 years 11 months ago
Explanations and Case-Based Reasoning in Ambient Intelligent Systems
Interacting with intelligent systems in general and ambient intelligent systems in particular, requires that these systems have the ability to build a trust relationship with the u...
Jörg Cassens, Anders Kofod-Petersen