Providing location recommendations becomes an important feature for location-based social
networks (LBSNs), since it helps users explore new places and makes LBSNs more …

Recommender systems are quickly becoming ubiquitous in applications such as e-
commerce, social media channels, and content providers, among others, acting as an …

Geographical influence has been intensively exploited for location recommendations in
location-based social networks (LBSNs) due to the fact that geographical proximity …

In recent years, research into the mining of user check-in behavior for point-of-interest (POI)
recommendations has attracted a lot of attention. Existing studies on this topic mainly treat …

Abstract Location-based Social Networks (LBSNs) can be considered as a special Online
Social Network (OSN) category. Actually, an LBSN has the same OSN's properties, but …

Mobile crowdsoured data from location based social network services (LBSNs) provide
information on individual's preferences for locations. In this article, we propose a travel …

Anomaly detection (aka, outlier or burst detection) is a well-motivated problem and a major
data mining and knowledge discovery task. In this article, we study the problem of …

Статья содержит: структуру и описание реализации кроссплатформенного сбора
данных;-обзор и описание данных, использованных для обнаружения сообществ …

With the rapid development of location-acquisition technologies (GPS, GSM networks, etc.),
more and more unstructured, geo-referenced data are accumulated on the Web. Such …

The rapid urban expansion has greatly extended the physical boundary of our living area,
along with a large number of POIs (points of interest) being developed. A POI is a specific …