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

在这项研究中，我们提出了一种方法，既根据游客的倾向性，又根据整个景区的整体情况，为每个游客推荐合适的景点。为此，我们利用大量旅游者的过渡史，构建了旅游地的旅游模型，并对旅游地之间的过渡期进行了预测。此外，我们还构建了一个观光区模拟器，可以模拟游客的景点过渡。通过模拟实验，验证了基于观光区整体优化的推荐方法的有效性，该推荐方法可以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.