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Yue Hu, Zhixiang Fang, Xinyan Zou, Haoyu Zhong and Lubin Wang
Tourism activities essentially represent the interaction between crowds and attractions. Thus, crowd dynamics are critical to the quality of the tourism experience in personalized tour recommendations. In order to generate dynamic, personalized tour rout...
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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 ...
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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...
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Md. Sabir Hossain,Ahsan Sadee Tanim,Nabila Nawal,Sharmin Akter
Pág. 32 - 39
Background: Tour recommendation and path planning are the most challenging jobs for tourists as they decide Points of Interest (POI).Objective: To reduce the physical effort of the tourists and recommend them a personalized tour is the main objective of ...
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I Made Agus Wirawan,I Wayan Bayu Diarsa
Pág. pp. 64 - 84
Although it has been a lot of research recommendation of the tourist attraction, there has been no research that discusses the recommendations of tour packages from a collection of travel in the past. Therefore, in this study it is important to conduct a...
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Gengeswari Krishnapillai,Kwok See Ying
Pág. 475 - 483
As an attractive educational hub within this region, Malaysia currently accommodates an enormous number of foreign students. These students are known for their inclination towards tour and travel activities during their spare time. In view of the potenti...
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