Location prediction in large-scale social networks: an in-depth benchmarking study

N Al Hasan Haldar, J Li, M Reynolds, T Sellis, JX Yu - The VLDB Journal, 2019 - Springer
Location details of social users are important in diverse applications ranging from news
recommendation systems to disaster management. However, user location is not easy to …

Recommending friends and locations based on individual location history

Y Zheng, L Zhang, Z Ma, X Xie, WY Ma - ACM Transactions on the Web …, 2011 - dl.acm.org
The increasing availability of location-acquisition technologies (GPS, GSM networks, etc.)
enables people to log the location histories with spatio-temporal data. Such real-world …

A survey of point-of-interest recommendation in location-based social networks

S Zhao, I King, MR Lyu - arXiv preprint arXiv:1607.00647, 2016 - arxiv.org
Point-of-interest (POI) recommendation that suggests new places for users to visit arises with
the popularity of location-based social networks (LBSNs). Due to the importance of POI …

Incorporating spatial, temporal, and social context in recommendations for location-based social networks

T Stepan, JM Morawski, S Dick… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Location-based social networks (LBSNs) such as Foursquare, Brightkite, and Gowalla are a
growing area where recommendation algorithms find a practical application. With an ever …

Location-based social networks: Locations

Y Zheng, X Xie - Computing with spatial trajectories, 2011 - Springer
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 …

Landmark-based user location inference in social media

Y Yamaguchi, T Amagasa, H Kitagawa - … of the first ACM conference on …, 2013 - dl.acm.org
Location profiles of user accounts in social media can be utilized for various applications,
such as disaster warnings and location-aware recommendations. In this paper, we propose …

Leveraging multi-aspect time-related influence in location recommendation

S Hosseini, H Yin, X Zhou, S Sadiq, MR Kangavari… - World Wide Web, 2019 - Springer
Abstract Point-Of-Interest (POI) recommendation aims to mine a user's visiting history and
find her/his potentially preferred places. Although location recommendation methods have …

Random walk based context-aware activity recommendation for location based social networks

H Bagci, P Karagoz - … on Data Science and Advanced Analytics …, 2015 - ieeexplore.ieee.org
The pervasiveness of location-acquisition technologies enable location-based social
networks (LBSN) to become increasingly popular in recent years. Users are able to check-in …

The where and when of finding new friends: Analysis of a location-based social discovery network

T Chen, M Kaafar, R Boreli - … of the International AAAI Conference on …, 2013 - ojs.aaai.org
With more people accessing Online Social Networks (OSN) using their mobile devices,
location-based features have become an important part of the social networking. In this …

Regionally influential users in location-aware social networks

P Bouros, D Sacharidis, N Bikakis - Proceedings of the 22nd ACM …, 2014 - dl.acm.org
The ubiquity of mobile location aware devices and the proliferation of social networks have
given rise to Location-Aware Social Networks (LASN), where users form social connections …