Modeling epistemic knowledge about users
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
Distributing deductive knowledge bases by clustering
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
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The online recommendations are a popular presence in the Web sites world due to their potential to increase the customersý satisfaction. The ability to represent epistemic information about the clientsý beliefs is important to understand their needs. This paper presents a recommender system based on reinforcement learning. The system represents concepts presented on a Web site by epistemic logical programs and uses a similarity measure between programs in order to facilitate generalization. A prototype of this system and experiments are presented.