This study aims to examine and analyze the effect of destination image tourist facilities on Revisit Intention Recommendation through Domestic Tourist Satisfaction at Lake Toba Tourism Destinations. The population in this is domestic tourists. will be tested tourists visiting destinations during Covid-19 pandemic. sample size was calculated from indicator multiplied by 5 10. Because used 4 cons...

Consider a popular tourist destination shown in Figure 1. How can we exploit the large set of photographs available online depicting this same general location in order to better understand the content of this particular image? It is useful to divide scene components into two categories: dynamic objects such as people, bikes, cars, pigeons or street vendors that move about and are likely to onl...

The emergence of social media has revolutionized tourists’ decision-making processes and behaviours. This study focuses on the effect user-generated content (UGC) tourist loyalty behaviour by examining structural relationships between destination image, satisfaction, revisit intention, word-of-mouth (WOM) publicity. Data were collected from domestic tourists to Gulangyu, a World Heritage Site i...

Tourism represents one of the most important industries in the global economy. Medical tourism is not a new phenomenon: mankind has traveled to foreign lands to access treatment for many years. Current research in information and communication technology considerably affects the tourism industry by providing innovative tools capable, on the one hand, of supporting tourists in organizing their h...

The Internet has disrupted traditional tourism in which a promising landscape of intelligent service provision has erupted by applying a new lattice of cutting-edge technologies. Thus, the different actors of the tourist services are in a new environment and they should operate in a coordinated manner to increase the value of tourism, to keep current tourists and attract new ones. One of the ma...

Researchers have adopted online data such as search query volumes to forecast tourism demand for a destination, including tourist volumes and hotel occupancy. However, the massive yet highly correlated query data pose challenges when researchers attempt to include them in the forecasting model. We propose a framework and procedure for creating a composite search index adopted in a generalized d...