The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Understanding the mobility of tourists plays a fundamental role in the administration and
design of tourist destinations, planning of on-site movement and marketing of attractions. In …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

Personalized route recommendation aims to recommend routes based on users' route
preference. The vast amount of GPS trajectories tracking driving behavior has made deep …

The increasing availability of trajectory recordings has led to the mining of a massive amount
of historical track data, allowing for a better understanding of travel behaviors by revealing …

With the rapid growth of location-based social networks (LBSNs), location recommendations
play an important role in sha** the life of individuals. Fortunately, a variety of community …

To support an efficient carpooling service in heavy urban traffic, we propose an intelligent
routing scheme based on mining Global Position System trajectories from shared riders. The …

Recently, as location-based social networks (LBSNs) rapidly grow, general users utilize
point-of-interest recommender systems to discover attractive locations. Most existing POI …

Geo-tagged photos of users on social media sites (eg, Flickr) provide plentiful location-
based data. This data provide a wealth of information about user behaviours and their …

Next location prediction has been an essential task for many location based applications
such as targeted advertising. In this paper, we present three basic models to tackle the …