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...

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....

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...

Combining multiple points of interest (POIs) to attractive and reasonable tourist trips is a challenge in the field of Recommender Systems (RSs). Even if a user likes going to restaurants, a trip composed of too many restaurants will not be appreciated. In this position paper, we present our ideas how to improve tourist trip recommendations by focusing more on user satisfaction. We introduce th...

In the e-Turist project we developed a mobile application that provide experience comparable to that offered by a professional tour guide, but tailored to each individual tourist. The tourist can enter his interests (entertainment, active tourism, gastronomy, cultural and natural heritage), the available time and any special requirements he/she may have. Based on these and other data such as op...