Results 141 to 150 of about 228 (183)

Investigating City Characteristics Based on Community Profiling in LBSNs

2012 Second International Conference on Cloud and Green Computing, 2012
While the detection of social subgroups (i.e., communities) has always been a fundamental task in social network analysis, few efforts has been made to characterize the detected community. Meanwhile, to effectively facilitate applications based on the community structure, it is very important to understand the features of each community.
Wang Z., Zhang D., Yang D., Yu Z., Zhou X., Yu Z.   +5 more
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A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN

2014 9th Latin American Web Congress, 2014
Location Based Social Networks (LBSN) have emerged with the purpose of allowing users to share their visited locations with their friends. Foursquare, for instance, is a popular LBSN where users endorse and share tips about visited locations. In order to improve the experience of LBSN users, simple recommender services, typically based on geographical ...
Iury Nunes, Marinho, Leandro Balby
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Recommending PO is in LBSNs with Deep Learning

2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021
In recent years, the representation of real-life problems into k-partite graphs introduced a new era in Machine Learning. The combination of virtual and physical layers through Location Based Social Networks (LBSNs) offered a different meaning into the constructed graphs.
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Personalized POI Recommendation Model in LBSNs

2017
The development of location-based social networks (LBSNs) generates large volume of check-in data. Point-of-interest recommendation (POI) is important for users to find some attractive venues, sometimes when users are in some places far away from their living cities.
Zhong Guo, Ma Changyi
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A spatio-temporal network model to represent and analyze LBSNs

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2015
With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains information
B N Moreno, V C Times, S Matwin
openaire   +1 more source

Design and Implementation of LBSNS Service Model

2012
Recently, Location Based Service (LBS) is expanding its service areas with the spread of smart phones and is offering more personalized contents according to the variety of needs from customers. Specially, Location Based Social Network Service (LBSNS) is emerging as the most promising service among the applications of LBS.
Youngdo Joo, Younghwa An
openaire   +1 more source

LocRec: Rule-Based Successive Location Recommendation in LBSN

2018 IEEE International Conference on Communications (ICC), 2018
Successive location recommendation has recently emerged as an important service in Location-Based Social Networks (LBSNs). It aims at recommending the next location(s) to visit to a user given its current and previous locations. Although several recommenders have been proposed, only few works have considered the sequential correlations among locations ...
Hanane Amirat, Abderrahim Benslimane, Philippe Fournier-Viger, Nasreddine Lagraa   +3 more
openaire   +1 more source

Genetic Location-Based Social Networks (G-LBSN)

Proceedings of the 3rd International Workshop on Location and the Web, 2010
Despite much advances in both general and targeted Social Network Services (SNS) and Location-Based Social Networks (LBSN), there is currently a void in literatures on SNS that form temporary social networks to address specific problems and employ intelligent classification of members and coordination of tasks toward goal oriented action.
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Detecting Overlapping Communities in LBSNs with Enhanced Location Privacy

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015
Location based social network (LBSNs) for instance Facebook places and Twitter provides large amount of data which allows service providers to create several applications like group marketing, friend and location recommendations, trend inquiry etc. Location based social networks does not provide precise communities which enables users to subscribe ...
K. Sreelekshmi, Pretty Babu
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Community Detection and Location Recommendation Based on LBSN

2017 International Conference on Network and Information Systems for Computers (ICNISC), 2017
Community detection is an effective tool for mining hidden information in social networks. Label propagation is a widely used and effective community detection algorithm. A lot of work has been done based on label propagation for standalone machine computing. While in location based social networks (LBSN), paralleled label propagation is needed to deal
Chang Su, Xiao-Tao Jia, Xian-Zhong Xie, Ning Li   +3 more
openaire   +1 more source