Results 251 to 260 of about 1,010,894 (298)

Location Influence in Location-based Social Networks

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Location-based social networks (LBSN) are social networks complemented with location data such as geo-tagged activ- ity data of its users. In this paper, we study how users of a LBSN are navigating between locations and based on this information we select the most influential locations.
Saleem, Muhammad Aamir, Kumar, Rohit, Calders, Toon, Xie, Xike, Pedersen, Torben Bach   +4 more
openaire   +2 more sources

Location-Based Social Networks

2014
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 considers location as the core object of its structure. This chapter initially provides some definitions and basic services that are offered by LBSNs, a brief literature review, and two ...
Wang-Chien Lee, Mao Ye
openaire   +2 more sources

Behavior-based location recommendation on location-based social networks

GeoInformatica, 2017
Location recommendation makes suggestions of nearby locations based on user’s locational preferences and spatial movement patterns. In this paper, we propose two novel location recommendation methods called Behavior Factorization (BF) and Latent Behavior Analysis (LBA).
Seyyed Mohammadreza Rahimi, Xin Wang, Behrouz Far   +2 more
openaire   +1 more source

Location recommendation for location-based social networks

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010
In this paper, we study the research issues in realizing location recommendation services for large-scale location-based social networks, by exploiting the social and geographical characteristics of users and locations/places. Through our analysis on a dataset collected from Foursquare, a popular location-based social networking system, we observe that
Mao Ye, Peifeng Yin, Wang-Chien Lee
openaire   +1 more source

Location-Based Social Networks: Locations

2011
While chapter 8 studies the research philosophy behind a location-based social network (LBSN) from the point of view of users, this chapter gradually explores the research into LBSNs from the perspective of locations. A series of research topics are presented, with respect to mining the collective social knowledge from many users' GPS trajectories to ...
Yu Zheng, Xing Xie
openaire   +1 more source

Predicting Visitors Using Location-Based Social Networks

2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018
Location-based social networks (LBSN) are social networks complemented with users' location data, such as geo-tagged activity data. Predicting such activities finds application in marketing, recommendation systems, and logistics management. In this paper, we exploit LBSN data to predict future visitors at given locations. We fetch the travel history of
Saleem, Muhammad, Da Costa, Felipe Soares, Dolog, Peter, Karras, Panagiotis, Pedersen, Torben Bach, Calders, Toon   +5 more
openaire   +3 more sources

Location-Based Social Networks

2012
The ability to gather and manipulate real world contextual data, such as user location, in modern software systems presents opportunities for new and exciting application areas. A key focus among those working in the area of Location-Based services today has been the creation of social networks which allow mobile device users to exchange details of ...
Declan Traynor, Kevin Curran
openaire   +1 more source

Personalized location recommendation on location-based social networks

Proceedings of the 8th ACM Conference on Recommender systems, 2014
Personalized location recommendation is a special topic of recommendation. It is related to human mobile behavior in the real world regarding various contexts including spatial, temporal, social, and content. The development of this topic is subject to the availability of human mobile data.
Huiji Gao, Jiliang Tang, Huan Liu
openaire   +1 more source

Personalized location recommendation for location-based social networks

2017 IEEE/CIC International Conference on Communications in China (ICCC), 2017
With the development of social networks and wireless communication technology, location-based social networks (LBSNs) are developing rapidly. Personalized location service in location-based social networks can provide users with a new point-of-interest (POI). Compared to traditional recommendation, point-of-interest recommendation integrates the social
Qianfang Xu, Jiachun Wang, Bo Xiao
openaire   +1 more source