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FLAIRS
2006
13 years 6 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
DEXA
2004
Springer
129views Database» more  DEXA 2004»
13 years 10 months ago
Using Case Based Retrieval Techniques for Handling Anomalous Situations in Advisory Dialogues
The efficacy of expert systems often depends on the accuracy and completeness of the problem specification negotiated with the user. Therefore, efficient user interfaces are needed...
Marcello L'Abbate, Ingo Frommholz, Ulrich Thiel, E...
ICCBR
2007
Springer
13 years 11 months ago
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Thomas Gabel, Martin Riedmiller
SCAI
1993
13 years 6 months ago
A Case-Based Answer to Some Problems of Knowledge-Based Systems
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
Agnar Aamodt
FLAIRS
2007
13 years 7 months ago
An Argumentation Based Approach to Multi-Agent Learning
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
Santiago Ontañón, Enric Plaza