LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Location-based social networks (LBSNs) such as Foursquare offer a platform for users to share and be aware of each other’s physical movements. As a result of such a sharing of check-in information with each other, users can be influenced to visit (or check-in) at the locations visited by their friends.
Ankita Likhyani +2 more
openaire +3 more sources
Discovering User’s Trends and Routines from Location Based Social Networks
Proceedings, 2018 Location data is a powerful source of information to discover user’s trends and routines. A suitable identification of the user context can be exploited to provide automatically services adapted to the user preferences. In this paper, we define a Dynamic
Sergio Salomón +2 more
doaj +1 more source
Friend and POI recommendation based on social trust cluster in location-based social networks
EURASIP Journal on Wireless Communications and Networking, 2019 Friend and point-of-interest (POI) recommendation are two primary individual services in location-based social networks (LBSNs). Major social platforms such as Foursquare and Instagram are all capable of recommending friends or POIs to individuals ...
Jinghua Zhu +5 more
doaj +1 more source
Urban Area Function Zoning Based on User Relationships in Location-Based Social Networks
IEEE Access, 2020 With advanced development of Internet communication and ubiquitous computing, Social Networks are providing an important information channel for smart city construction.
Fei Hao +5 more
doaj +1 more source
Social network user geolocating method based on weighted least squares
网络与信息安全学报, 2022 When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by ...
Wenqi SHI, Xiangyang LUO, Jiashan GUO
doaj +3 more sources
Modelling heterogeneous location habits in human populations for location prediction under data sparsity [PDF]
, 2013 In recent years, researchers have sought to capture the daily life location behaviour of groups of people for exploratory, inference, and predictive purposes.
James McInerney +8 more
core +1 more source
Social Multi-role Discovering with Hypergraph Embedding for Location-Based Social Networks
, 2022 Location-based social networks (LBSNs) have become more and more popular in the recent years. The typical LBSN platforms such as Foursquare, Facebook Local or Yelp allow the user to share their daily digital footprints in the form of check-ins with other
Huynh, QT +5 more
core +1 more source
Applied Sciences, 2020 In the scenarios of location-based social networks (LBSN), the goal of location promotion is to find information propagators to promote a specific point-of-interest (POI).
Yi-Chun Chen, Cheng-Te Li
doaj +1 more source
Self-organizing peer-to-peer social networks [PDF]
, 2008 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2008 The Authors.Peer-to-peer (P2P) systems provide a new solution to distributed information and resource sharing because of its ...
Sun, Y, Wang, F
core +1 more source
Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2021 Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult.
Yi-Chung Chen +3 more
doaj +1 more source