The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places, such as restaurants and movie theaters. The increasing …

In recent years, million geo-tagged photos are available in online web service like Flickr,
panoramio, etc. People contributing geo-tagged photo and share their travel experiences …

A relationship between people's mobility and their social networks is presented based on an
analysis of calling and mobility traces for one year of anonymized call detail records of over …

Two characteristics of location-based services are mobile trajectories and the ability to
facilitate social networking. The recording of trajectory data contributes valuable resources …

The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …

Event crowd management has been a significant research topic with high social impact.
When some big events happen such as an earthquake, typhoon, and national festival, crowd …

Mobile networks enable users to post on social media services (eg, Twitter) from anywhere.
The activities of mobile users involve three major entities: user, post, and location. The …

This paper discusses a Digital Twin demonstrator for privacy enhancement in the automotive
industry. Here, the Digital Twin demonstrator is presented as a method for the design and …

This paper proposes LARS*, a location-aware recommender system that uses location-
based ratings to produce recommendations. Traditional recommender systems do not …

In this paper, we aim to estimate the similarity between users according to their GPS
trajectories. Our approach first models a user's GPS trajectories with a semantic location …