Abstract. Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
The case-based reasoning approach to email response consists of reusing past messages to synthesize new responses to incoming requests. This task presents various challenges due to...
Model-based object recognition is a well-known task in Computer Vision. Usually, one object that can be generalized by a model should be detected in an image based on this model. B...
The ranking of offers is an issue in e-commerce that has received a lot of attention in Case-Based Reasoning research. In the absence of a sales assistant, it is important to provi...
In this paper we present an agent-based application of a wireless tourist guide that combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base Reason...
By improving accuracy in the quantification of the ocean’s CO2 budget, a more precise estimation can be made of the terrestrial fraction of global CO2 budget and its subsequent e...
Juan M. Corchado, Jim Aiken, Emilio Corchado, Nath...
Two key objectives of conversational case-based reasoning (CCBR) systems are (1) eliciting case facts in a manner that minimizes the user’s burden in terms of resources such as t...
Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for thei...
Abstract. In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo t...
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...