— In today’s service market the provisioning of high quality services has become a critical issue for providers as the business success of their customers is often based on the...
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
Case-based reasoning and multicriteria decision making have common grounds: they are both problem solving methodologies; both involve the selection, ranking and aggregation of bes...
Abstract. Case-Based Design CBD applies a knowledge-based process to the knowledge commonly associated with Case-Based Reasoning CBR systems the library of exemplars. This paper in...