|
|
|
|
|
Xiao Zhou, Jiangpeng Tian and Mingzhan Su
This study designed a tour-route-planning and recommendation algorithm that was based on an improved AGNES spatial clustering and space-time deduction model. First, the improved AGNES tourist attraction spatial clustering algorithm was created. Based on ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiao Zhou, Jiangpeng Tian, Jian Peng and Mingzhan Su
Tourist attraction and tour route recommendation are the key research highlights in the field of smart tourism. Currently, the existing recommendation algorithms encounter certain problems when making decisions regarding tourist attractions and tour rout...
ver más
|
|
|
|
|
|
|
|
|
|
|
Narisara Khamsing, Kantimarn Chindaprasert, Rapeepan Pitakaso, Worapot Sirirak and Chalermchat Theeraviriya
This research presents a solution to the family tourism route problem by considering daily time windows. To find the best solution for travel routing, the modified adaptive large neighborhood search (MALNS) method, using the four destructions and the fou...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiao Zhou, Mingzhan Su, Zhong Liu, Yu Hu, Bin Sun and Guanghui Feng
A smart tour route planning algorithm based on a Naïve Bayes interest data mining machine learning is brought forward in the paper, according to the problems of current tour route planning methods. A machine learning model of Naïve Bayes interest data mi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ling Ruan, Xuan Kou, Junlian Ge, Yi Long and Ling Zhang
The Tourist Oriented Directional Signs (TODS) system is an essential and important project in constructing and planning scenic areas. At present, the placement of directional signs generally depends on the personal experience of the tour manager to ident...
ver más
|
|
|
|
|
|