Structured overlays provide a basic substrate for many peer-to-peer systems. Existing structured overlays can be classified into two categories, O(logN)-hop ones and O(1)-hop ones. The former are suitable for large and dynamic systems, while the latter are suitable for small or stable ones. However, for the lack of adaptivity, it is difficult for a peer-to-peer system designer to choose from th...

Travel has become a way of life for more and people. The rapid development technologies such as the Internet 5G brings convenience to life, so recording one’s travel through social media main sharing. Based on classification UGC pictures by computer program, this paper studies perception tourist destination image inbound tourists from different regions find factors that potentially affect touri...

This study uses the Autoregressive Distributed Lag (ARDL) model to study the dynamic determinant factors that influence both long and short-term international tourism demand in Cambodia from 12 countries. The annual time series data (1994–2013) are used in this study. The study finds that only the international tourism demand model of Australia, Canada, Thailand, the United Kingdom, and USA are...

International tourism is an important source of service exports to Spain and its regions, particularly the Balearic Islands. Tourism is the major industry in the Balearic Islands, accounting for about 85% of GDP (see Riera, 2003). This paper examines the time series properties of international tourism demand to the Balearic Islands. The data set comprises monthly figures from two leading touris...

Europe is one of the most popular tourist destinations in the world, in which tourism occupies a significant place among the most relevant economic activities, and this applies to the Republic of Croatia as well. Based on this study, the authors intended to encourage and support the creation of an effective tourism policy in Croatia that would be based on the profiling of certain target groups....

COVID-19 has led to the biggest tourism crisis in modern Spanish history. Although its borders were opened June 2020, incoming international Spain was very low. Tourist behavior, however, been diverse between types of tourism. Data from credit card transactions showing tourist behavior 33 destinations representative various analyzed. Results show that differences can be explained by risk percep...

In the big data era, the social media data that contain users’ geographical locations are growing explosively. These kinds of spatiotemporal data provide a new perspective for us to observe the human movement behavior. By mining such spatiotemporal data, we can incorporate the users’ collective wisdom, build novel services and bring convenience to people. Through spatial clustering of the origi...

Given recent developments in information and communication technology, the number of individual tourists enjoying free travel without the advice of travel agencies is increasing. Therefore, such tourists can visit more tourist destinations and create more complex movement patterns than mass tourists. These tourist movement patterns are a key factor in understanding tourist behavior and they con...

In recent years, a growing interest has been given to trajectory data mining applications that permit to support mobility prediction with the aim of anticipating or pre-fetching possible services [3]. Proposed approaches typically consider only spatio-temporal information provided by collected trajectories. However, in some scenarios, such as that of tourist supporting, semantic information whi...

In an ongoing R D project, the authors investigate the consultation situations of travel counselling in travel agencies and tourist offices at destinations. The first investigations described in this paper indicate more similarities than differences between these two situations. The design requirements for collaborative co-located travel counselling from previous work describe a reformulation o...