An unguided visit in some museums may cause visitors to spend more of their times and force them to visit uninterested item. Museum recommender system enhances the visitors’ experience by providing more personalized route to engage them with the museum items. In this paper, we design and implement a recommender system that utilize implicit rating from visitor semantic trajectory. Our system recommends the next item to visit for visitors to provide their personalized museum route. Our preliminary evaluation shows the practical performance for the museum item recommendation.