TripBuilder is an unsupervised system helping tourists to build their own personalized sightseeing tour [1, 3, 2]. Given a target touristic city, the time available for the visit, and the tourist’s profile, TripBuilder provides a time-budgeted tour that maximizes tourist’s interests and takes into account both the time needed to enjoy the attractions and to move from one Point of Interest (PoI)...

As the amount of photos shared on album websites grows up rapidly, the meaningful grouping of these images becomes important. In particular, sightseeing spot images in different situations, such as weather conditions and seasons, are useful for tourists to decide when to visit there. This paper proposes a method to group sightseeing spot images into several different situations by a hierarchica...

Along with the spread of social media, it has become possible to extract events occurring in the real world in real time. A benefit of analysis using data with position information is that it can accurately extract an event from a target area to be analyzed. However, because social media data include few data with location information, the amount to analyze is insufficient for almost all areas:...

We propose a see-through vision with augmented reality (AR) for increasing the quality of the experiences in the activities of sightseeing. In the sightseeing activities, there are certain temporal and spatial limitations when sightseers are gazing on the real objects. In this research, we aim to eliminate the spatial limitations caused by the inability to see farther objects through opaque sur...

In this paper, we present PSiS (Personalized Sightseeing Tours Recommendation System) Mobile. PSiS Mobile is our proposal to a mobile recommendation and planning support system, which is designed to provide effective support during the tourist visit with context-aware information and recommendations about places of interest (POI), exploiting tourist preferences and context.

Within computer science, the term provenance has multiple meanings, due to different motivations, perspectives, and assumptions prevalent in the respective communities. This chapter provides a high-level “sightseeing tour” of some of those different notions and uses of provenance in scientific workflows and databases.

Tourist recommendation systems have been growing over the last years, mainly because of the use of mobile devices to obtain user context. This work discuss some of the most relevant systems on the field and presents PSiS Mobile, which is a mobile recommendation and planning application designed to support a tourist during his vacations. It provides recommendations about points of interest to vi...

We proposed a dialog system on Kyoto tourist information assistance in a client-server fashion. Our proposed system is called the “proactive dialog system” and aims to present acceptable information in an acceptable time. We developed two prototype systems. The first one is designed for mobile use. It was implemented in iPhone and its application is opened to the public in AppStore. The second ...

An Eulerian walk (or trail) is a (resp. that visits every edge of graph G at least exactly) once. This notion was first discussed by Leonhard Euler while solving the famous Seven Bridges Königsberg problem in 1736. But what if had to take bus? In temporal $$(G,\lambda )$$ , with $$\lambda : E(G)\rightarrow 2^{[\tau ]}$$ an $$e\in E(G)$$ available only times specified (e)\subseteq [\tau ]$$ same...