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...

The wx-E2 mutation results from a 128-bp transposable element-like insertion in exon 11 of the maize Waxy gene. Surprisingly, 11 maize genes and one barley gene in the GenBank and EMBL data bases were found to contain similar elements in flanking or intron sequences. Members of this previously undescribed family of elements, designated Tourist, are short (133 bp on average), have conserved term...

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...