Xiaolei Zhong

Papers

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About

Xiaolei Zhong is a researcher at the forefront of applying big data and artificial intelligence to the tourism industry. Her primary research areas include intelligent tourism systems, personalized recommendation algorithms, and the integration of information technology with service design. Zhong’s most notable contribution is her work on developing a personalized recommendation algorithm tailored for the big data environment, which addresses the challenge of information overload in modern tourism by intelligently matching travelers with relevant destinations, services, and experiences. This research, published in 2023, has already garnered attention with 2 citations, signaling its growing relevance to both academia and industry. By leveraging the vast data generated by Internet technologies and smart society applications, Zhong’s work helps transform raw data into actionable, user-centric recommendations. Her research is particularly significant for its practical implications, offering a blueprint for how emerging technologies can enhance decision-making and customer satisfaction in tourism. As the field of intelligent tourism continues to expand, Zhong’s contributions stand out for their direct application to real-world challenges, positioning her as a key voice in the intersection of data science and travel innovation.