Abstract-The applications of new information and communication technologies in the exhibition industry provide lost of opportunities for improfing value of exhibition industry provide lots of opportunities for improving value of exhibition service. Especially exhibit organizers can help the visitors to find the information they are looking for through a recommender system using the ubiquitous technologies. However, existing recommender systems in the ubiquitous exhibition environment can’t reflect a visitor’s dynamic preference since those systems utilize information of the pre—inputted exhibit booths. Therefore,we suggest a recommendation methodology for tour guidance modeled by a Bayesian network in the ubiquitous exhibition environment. A Bayesian network can reflect a visitor’s dynamic preference on the exhibit booths over time. We expect that the proposed methodology will be stable and accurate to identify the visitor’s dynamic preference and to recommend the exhibit booth. Keywords-component: recommender system; Bayesian network; exhibit booth recommendation