Chi-Hyon Oh

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The task of collaborative filtering has close relation to co-clustering, in which personalized recommendation is achieved by connecting users with items to be preferred. FCM-type co-clustering extracts user-item co-clusters, in which users are assigned to clusters in an exclusive manner while item partitions are not necessarily exclusive and each item can(More)
FCCM based on K-L information regularization is an FCM-type co-clustering model, which is a fuzzy counterpart of the probabilistic Multinomial Mixture Models (MMMs). In MMMs and other FCM-type co-clustering models, whose goal is to simultaneously partition objects and items considering their mutual cooccurrence information, memberships of objects are forced(More)
Agent-based simulation is a promising approach to social system analysis. This paper considers a fuzzy model-based virtual theme park simulator, in which each agent has a unique preference and acts with its own rule defined by a fuzzy model. Each agent model is designed to imitate a human subject whose responses to a questionnaire are used in defining the(More)
Agent-based simulation is a useful approach to behavior analysis in a social system. This paper considers a fuzzy model-based virtual theme park simulator, in which each agent has a unique preference and acts in accordance with its own rules, as defined by a fuzzy model. In the behavior analysis, the effect of user preference variety is analyzed with(More)