A recommendation method for persuading tourists into visiting better sightseeing spots based on a universal optimization

在本研究中，我们提出了一种既根据每个游客的学习情况，又根据整个旅游区的整体情况，为每个游客推荐适合的景点的方法。为此，我们利用大量游客的过渡历史，构建了游客参观景点的模型，并预测了游客在景点之间的过渡。在此基础上，构建了模拟游客景点转换的景区模拟器。通过仿真验证了所提出的推荐方法的有效性，该方法可以在观光区域普遍优化的基础上提高每位游客的满意度总和。

In this research, we propose a method for recommending suitable sightseeing spots for each tourist based not only on his/her leaning but also the whole situation of overall sightseeing area. For that purpose, we construct tourist models for visiting sightseeing spots using a large amount of transition history of tourists and predict the transition of them between the sightseeing spots. Furthermore, we construct a sightseeing area simulator which can simulate the spot transition of tourists. Using the simulator, we confirm the validity of our recommendation method which can enhance the sum of eachtourist's satisfaction based on the universal optimization of sightseeing area.