Even at an early stage, diverse big data have been applied to tourism research and made
an amazing improvement. This paper might be the first attempt to present a comprehensive …

In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …

红色旅游网络关注度是红色旅游宣传推广水平的一种典型测量手段, 也是红色旅游影响力的重要
反映. 以31 个省(区, 市)“红色旅游网络关注度” 为研究对象, 运用莫兰指数 …

Traditional tourism demand forecasting models may face challenges when massive
amounts of search intensity indices are adopted as tourism demand indicators. Using a …

The queries entered into search engines register hundreds of millions of different searches
by tourists, not only reflecting the trends of the searchers' preferences for travel products, but …

借助“百度指数”, 获取2011—2019 年中国31 个省(市, 自治区) 对红色旅游经典景区的网络关注
度, 结合区域差异分析法, 景区偏好系数分析红色旅游经典景区网络关注度的时空演变特征 …

Technology innovation in the tourism industry serves as a vehicle to meet the increasing
need for remarkable tourist experiences. This study aims to construct a virtual reality tour …

The tourism market is fiercely competitive. No other market place has as many brands
competing for attention, and yet only a handful of countries account for 75% of the world's …

In order to improve the tourist experience, recommender systems are used to offer
personalized information for online users. The hotel industry is a leading stakeholder in the …

Social media in the context of destination marketing is a growing area of study, and judging
by the exponential growth in social networks over recent years, the demand for research will …