福建电脑2024，Vol.40Issue(7)：9-16,8.DOI:10.16707/j.cnki.fjpc.2024.07.002
改进ResNet在鼓浪屿旅游推荐系统中的应用
The Application of Improved ResNet in Tourism Recommendation Systems for Gulangyu Island
摘要
Abstract
With the booming development of the tourism industry,the personalized demand for tourism experience is increasingly prominent.In order to assist tourists in choosing tourist destinations and attractions,this article develops a Gulangyu tourism recommendation system based on the ResNet deep learning model.The system adopts the ResNet architecture and its variant ResNeXt,combined with self attention mechanism and cSE module,to enhance the model's ability to analyze user behavior and preferences.The experimental results show that the system has achieved significant improvements in recommendation accuracy and user satisfaction,with accuracy and recall rates exceeding 98%,effectively meeting the personalized tourism needs of tourists and providing new solutions for the intelligent development of the tourism industry.关键词
鼓浪屿/旅游/ResNet模型/推荐系统Key words
Gulangyu Island/Travel/ResNet Model/Recommendation System分类
交通工程引用本文复制引用
朱高峰,闫淼,梅煜婕,李怡霏,黄川波..改进ResNet在鼓浪屿旅游推荐系统中的应用[J].福建电脑,2024,40(7):9-16,8.基金项目
本文得到省级大学生创新创业训练计划《"鼓浪蚂蚁"——基于SVM和图论的混合推荐算法的APP》(No.S202310385010)资助. （No.S202310385010）
