In recent years, recommender systems have become an important part of various applications, supporting both customers and providers in their decision-making processes. However, these systems still must overcome limitations that reduce their performance, like recommendations' overspecialization, cold start, and difficulties when items with unequal probability distribution appear or recommendations for sets of items are asked. A novel approach, addressing the above issues through a case-based recommendation methodology, is presented here. The scope of the presented approach is to generate meaningful recommendations based on items' co-occurring patterns and to provide more insight into customers' buying habits. In contrast to current recommendation techniques that recommend items based on users' ratings or history, and to most case-based item recommenders that evaluate items' similarities, the implemented recommender uses a hierarchical model for the items and searches for similar sets of items, in order to recommend those that are most likely to satisfy a user.
Aldewereld, H.; Padget, J.; Vasconcelos, W.; Vazquez-Salceda, J.; Sergeant, .; Staikopoulos, . IEEE intelligent systems Vol. 25, num. 4, p. 80-84 DOI: 10.1109/MIS.2010.93 Data de publicació: 2010-08 Article en revista
Human-organ transplantation is the only effective therapy for many life-threatening diseases. However, despite an increase in transplant successes, the lack of a concomitant increase in donor organ availability has led to a growing disparity between supply and demand. Much research has thus focused on defining and implementing policies for increasing donor availability, identifying suitable organ recipients, and documenting transplant procedures. A novel organ-selection process uses a multiagent system called Carrel+ to let geographically dispersed transplant physicians deliberate over organ viability to increase the availability of organs for transplantation.
Kifor, T.; Varga, L.; Vazquez-Salceda, J.; Alvarez-Napagao, Sergio; Willmott, S.; Miles, S.; Moreau, L. IEEE intelligent systems Vol. 21, num. 6, p. 38-46 Data de publicació: 2006-11 Article en revista