Fig. 9
From: Personalized tourism recommendation model based on temporal multilayer sequential neural network
Physical trajectory of the travel route and FP-growth weight results(the maps were generated using QGIS software, version 3.28.14-Firenze, available at: https://qgis.org/). A tourist route trajectory was extracted from the dataset, and the FP-growth algorithm was employed to calculate the associations between attractions. The range of colors surrounding each attraction represents its influence weight, with a wider range indicating a greater weight.
