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ICCBR
2001
Springer
13 years 9 months ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
ICCBR
2001
Springer
13 years 9 months ago
Helping a CBR Program Know What It Knows
Case-based reasoning systems need to know the limitations of their expertise. Having found the known source cases most relevant to a target problem, they must assess whether those ...
Bruce M. McLaren, Kevin D. Ashley
ICCBR
2001
Springer
13 years 9 months ago
Case-Based Reasoning in the Care of Alzheimer's Disease Patients
Abstract. Planning the ongoing care of Alzheimer's Disease (AD) patients is a complex task, marked by cases that change over time, multiple perspectives, and ethical issues. G...
Cynthia R. Marling, Peter Whitehouse
ICCBR
2001
Springer
13 years 9 months ago
Meta-case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
J. William Murdock, Ashok K. Goel
ICCBR
2001
Springer
13 years 9 months ago
Mining High-Quality Cases for Hypertext Prediction and Prefetching
Case-based reasoning aims to use past experience to solve new problems. A strong requirement for its application is that extensive experience base exists that provides statisticall...
Qiang Yang, Ian Tian Yi Li, Henry Haining Zhang