Scenic spot path planning and journey customization based on multilayer hybrid hypernetwork optimization.

ABSTRACT: In the face of increasingly diverse demands from tourists, traditional methods for scenic route planning often struggle to meet these varied needs. To address this challenge and enhance the overall service quality of tourist destinations, as well as to better understand individualized preferences of visitors, this study proposes a novel approach to scenic route planning and itinerary customization based on multi-layered mixed hypernetwork optimization. Firstly, an adaptive multi-route feature extraction method is introduced to capture personalized demands of tourists. Subsequently, a personalized tourist inference method based on a multi-layered mixed network is presented, utilizing the extracted personalized features to infer the true intentions of the tourists. Lastly, we propose a hyper

SUBMITTER: Song C 

PROVIDER: S-EPMC11630575 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature