Retraction:Personalized Route Planning of Rural Ecotourism Using Mobile Computing and Random Forest Algorithm

Abstract

Tourism has evolved from a few high-end items to a mass market, and it has become an integral part of people's daily lives. Tourist routes connect tourist sources and destinations, whether they are part of a group tour or a road trip. Tourist routes that are designed scientifically and rationally can improve tourist satisfaction while also highlighting the unique characteristics of various tourist destinations and promoting the long-term development of tourist destinations. Ecotourism is a necessary component of China's tourism industry's long-term development, as well as a key component of the country's low-carbon economy. This paper examines some basic problems in rural tourism planning using the random forest algorithm and proposes planning strategies and methods for its core content in order to promote the development of rural ecotourism. Tourist route optimization is beneficial not only to obtaining reasonable routes to meet tourists' needs but also to maximizing resource utilization, which is beneficial to environmental protection and balanced economic development.