Results 31 to 40 of about 231,718 (305)
A Fine-Grained Indoor Location-Based Social Network [PDF]
IEEE Transactions on Mobile Computing, 2017 15 pages, 18 ...
Moustafa Elhamshary +2 more
openaire +2 more sources
Location-Based Seeds Selection for Influence Blocking Maximization in Social Networks
IEEE Access, 2019 Influence blocking maximization (IBM) is a key problem for viral marketing in competitive social networks. Although the IBM problem has been extensively studied, existing works neglect the fact that the location information can play an important role in ...
Wenlong Zhu +6 more
doaj +1 more source
Extracting Urban Patterns from Location-based Social Networks
, 2011 Social networks attract lots of new users every day and ab- sorb from them information about events and facts happen- ing in the real world. The exploitation of this information can help identifying mobility patterns that occur in an urban environment as
Franco Zambonelli +7 more
core +1 more source
A Joint Deep Recommendation Framework for Location-Based Social Networks
Complexity, 2019 Location-based social networks, such as Yelp and Tripadvisor, which allow users to share experiences about visited locations with their friends, have gained increasing popularity in recent years.
Omer Tal, Yang Liu
doaj +1 more source
Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2019 Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
doaj +1 more source
Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation
ISPRS International Journal of Geo-Information, 2020 With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs.
Jiping Liu +4 more
doaj +1 more source
The impact of location privacy on opportunistic networks
, 2011 Opportunistic networking involves forwarding messages between proximate users, who may or may not know one another. This assumes that users are willing to forward messages to each other. This assumption may not hold if users are concerned about using the
Parris, Iain +3 more
core +1 more source
Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network
Big Data and Cognitive ComputingLocation-based social networks (LBSNs) leverage geo-location technologies to connect users with places, events, and other users nearby. Using GPS data, platforms like Foursquare enable users to check into locations, share their locations, and receive ...
Eman M. Bahgat +3 more
doaj +1 more source
Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
ISPRS International Journal of Geo-Information, 2016 Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and
Basma AlBanna +3 more
doaj +1 more source
On Neighborhood Effects in Location-Based Social Networks
2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 In this paper, we analyze factors that determine the check-in decisions of users on venues using a location-based social network dataset. Based on a Foursquare dataset constructed from Singapore-based users, we devise a stringent criteria to identify the actual home locations of a subset of users.
Thanh-Nam Doan +2 more
openaire +3 more sources