文献类型：期刊文献

英文题名：Research on the Application of Software-Defined Networking in Enhancing the User Experience of Tourism E-Commerce

作者：Zhang, Kun[1];Zhang, Ying[1];Hao, Zhicheng[2]

第一作者：Zhang, Kun

通讯作者：Hao, ZC[1]

机构：[1]HeBei Minzu Normal Univ, Shijiazhuang, Peoples R China;[2]Beijing Union Univ, Tourism Coll, Beijing, Peoples R China

第一机构：HeBei Minzu Normal Univ, Shijiazhuang, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Tourism Coll, Beijing, Peoples R China.|[1141732]北京联合大学旅游学院;[11417]北京联合大学;

年份：2025

卷号：38

期号：1

外文期刊名：INFORMATION RESOURCES MANAGEMENT JOURNAL

收录：EI(收录号：20252618666096);Scopus(收录号：2-s2.0-105008781453);WOS:【ESCI(收录号:WOS:001525651200004)】；

基金：This work was supported by Hebei Provincial Department of Culture and Tourism 2024 Hebei Provincial Cultural and Art Science Planning and Tourism Research Project: Evaluation and Countermeasure Research on the Communication Effectiveness of Tourism Brand New Media Platforms in the Jibei Region (HB24-ZD008) .

语种：英文

外文关键词：Software Defined Network; Travel Electronic Commerce; User Experience; Traffic Monitoring; Path Optimization

摘要：With the rapid development of tourism e-commerce, user demands are becoming increasingly diversified and personalized with higher requirements for service quality and experience. Traditional networks can no longer meet these needs. Therefore, this study introduces software-defined networking (SDN) into a platform and improves its model by integrating genetic algorithms, reinforcement learning, and unsupervised learning methods. Experimental results showed that the optimized SDN-based model provided a more reasonable, flexible, and balanced controller deployment mechanism, improving overall network performance. Additionally, it enhanced abnormal traffic detection accuracy, achieved traffic balance among different servers, and reduced average server latency. To better meet personalized user needs, the proposed video stream quality of service optimization scheme improved the video viewing experience. Experimental results demonstrated the model's superior network performance and effective support for tourism e-commerce platforms.