The individualised travel route selection based on dynamic transfer graph
Xiao Qin Geng, Yun Duo Wang · International Journal of Reasoning-based Intelligent Systems · 2023
In order to solve the problems of low selection accuracy, high cost and low tourist satisfaction in traditional methods, this paper proposes an individualised travel route selection method based on dynamic transfer graph. The granular time set is introduced to map the binary set of any event in the scenic spot to the triplet, so as to realise the construction of the dynamic transfer graph of the scenic spot. TF-IDF technology is used to calculate the fitting degree between tourists' demand and scenic spots, so as to preliminarily select scenic spots' tourism routes, complete the secondary screening of scenic spots' tourism routes according to the dynamic transfer map, and realise individualised travel route selection. The test results show that the maximum selection accuracy of the proposed method is 98.3 and the minimum is 95.6%, the cost is low, and the user satisfaction is the highest, reaching 9.7.