Semantic Annotation for Places in LBSN through Graph Embedding [PDF]
With the prevalence of location-based social networks (LBSNs), automated semantic annotation for places plays a critical role in many LBSN-related applications. Although a line of research continues to enhance labeling accuracy, there is still a lot of room for improvement. The crucial problem is to find a high-quality representation for each place. In
Wang, Yan +4 more
openaire +2 more sources
Blockchain-Enabled Privacy-Preserving Location Sharing Scheme for LBSNs [PDF]
The rise of Internet of Things (IoT) technology promotes the rapid development of location services industry. The idea of smart connectivity also provides a new direction for Location-Based Social Networks (LBSNs). However, due to limited calculate ability and internal storage space of IoT devices, historical location data of users is generally stored ...
Liang Zhu +4 more
openaire +1 more source
Efficient Semantic Enrichment Process for Spatiotemporal Trajectories
The increasing availability of location‐acquisition technologies has enabled collecting large‐scale spatiotemporal trajectories, from which we can derive semantic information in urban environments, including location, time, direction, speed, and point of interest.
Bin Zhao +5 more
wiley +1 more source
A Study on Recommendation Systems in Location Based Social Networking
Smart devices in the hands of people are revolutionizing the social lifestyle of one's self. Everyone across the world are using smart devices linked to their social networking activities one such activity is to share location data by uploading the ...
Lakshmi Shree Kullappa +2 more
doaj +1 more source
GROUPING METHOD FOR NEIGHBOR OBJECTS OF MOVING OBJECT USING HASH INDEX [PDF]
A location-based social network (LBSNS) is a social network service (SNS) that is based on a user’s location, unlike SNS, and facilitates additional activities like neighbour-user search and group formation in real time.
B. Lee, J. Kim, K. Yu
doaj +1 more source
The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity
This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns
Álvaro Bernabeu-Bautista +3 more
doaj +1 more source
Exploiting Spatial and Temporal for Point of Interest Recommendation
An increasing number of users have been attracted by location-based social networks (LBSNs) in recent years. Meanwhile, user-generated content in online LBSNs like spatial, temporal, and social information provides an ever-increasing chance to study the ...
Jinpeng Chen +5 more
doaj +1 more source
Spatial-Temporal Distance Metric Embedding for Time-Specific POI Recommendation
With the growing popularity of location-based social networks (LBSNs), time-specific POI recommendation has become important in recent years, which provides more accurate recommendation services for users in specific spatio–temporal contexts.
Ruifeng Ding, Zhenzhong Chen, Xiaolei Li
doaj +1 more source
Improving Destination Choice Modeling Using Location-Based Big Data
Citizens are increasingly sharing their location and movements through “check-ins” on location based social networks (LBSNs). These services are collecting unprecedented amounts of big data that can be used to study how we travel and interact with our ...
Joseph Molloy, Rolf Moeckel
doaj +1 more source
Recommendation System Algorithms on Location-Based Social Networks: Comparative Study
Currently, social networks allow individuals from all over the world to share ideas, activities, events, and interests over the Internet. Using location-based social networks (LBSNs), users can share their locations and location-related content ...
Abeer Al-Nafjan +2 more
doaj +1 more source

