Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …

Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …

The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …

This paper studies the problem of recommending new venues to users who participate in
location-based social networks (LBSNs). As an increasingly larger number of users partake …

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

With the increasing popularity of location tracking services such as GPS, more and more
mobile data are being accumulated. Based on such data, a potentially useful service is to …

Although online recommendation systems such as recommendation of movies or music
have been systematically studied in the past decade, location recommendation in Location …

Recommendation systems, which automatically understand user preferences and make
recommendations, are now widely used in online shopping. However, so far there have …

You are in a new city. You are not familiar with the places and neighborhoods. You want to
know all about the exciting sights, food outlets, and cultural venues that the locals frequent …

In recent years, researches on recommendation of urban Points-Of-Interest (POI), such as
restaurants, based on social information have attracted a lot of attention. Although a number …