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Recommendations in location-based social networks: a survey
2015
Geoinformatica
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Recent advances in localization techniques have fundamentally enhanced social networking services, allowing users to share their locations and location-related contents, such as geo-tagged photos and notes ...
We refer to these social networks as location-based social networks (LBSNs). ...
In [84] , the authors further extend the viral marketing model in a location-based social network, where they consider the user opinion, spatial distance and the social influences to recommend a best ...
doi:10.1007/s10707-014-0220-8
fatcat:3ivmtrnvkfhshl72gd33h4aola
Travel Data Sequence from Multi-Source Recommendation System
2018
International Journal of Engineering & Technology
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By utilizing the tree based hierarchal graphs (TBHG), location histories of the multiple users' have been modeled. ...
We implemented a location recommendation system that derives personal preferences while accounting for restraints irremissibly by road capacity in order to change the demand of travel. ...
For example, periodic mobility model (PMM) is created by using Gaussian Mixture model of two-component which con-siders intervallic behaviour of temporally and spatially. ...
doi:10.14419/ijet.v7i4.6.20242
fatcat:pmxochrkavgf5bcfaxdzhqq2cq
Mobile and Context-Aware GeoBI Applications: A Multilevel Model for Structuring and Sharing of Contextual Information
2012
Journal of Geographic Information System
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mobile GeoBI context model which 1) is geo-spatial-extended; 2) fits with human perception of mobility; 3) takes into account the local context interactions and information-sharing with remote contexts ...
Then, step by step, we methodologically identify relevant contextual information to capture for mobility purposes as well as for BI needs, organize them into context-dimensions, and build a hierarchical ...
context (user name);
-Network context (network connection types, bandwidth);
[35]
-User context (goals, tasks, intentions, history, preferences); -Physical context (objects);
-Social context (people ...
doi:10.4236/jgis.2012.45048
fatcat:t5tm6zex7jff3faeq7xn7gmxoe
Spatial big-data challenges intersecting mobility and cloud computing
2012
Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access - MobiDE '12
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ACKNOWLEDGEMENTS We would like to thank Eric Horvitz (Microsoft), the Computing Community Consortium (CCC), Hillol Kargupta (UMBC), Erik Hoel (ESRI), Oak Ridge National Labs (ORNL) and the US-DoD for their ...
How do we quantify location privacy in relation to its spatio-temporal precision of measurement? How can users easily understand and set privacy constraints on location information? ...
While location information (GPS in phones and cars) can provide great value to users and industry, streams of such data also introduce spooky privacy concerns of stalking and geo-slavery [10] . ...
doi:10.1145/2258056.2258058
dblp:conf/mobide/ShekharGEY12
fatcat:ezk6tsuwivcsvmrzgj7rsmp7ra
Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review
[article]
2020
arXiv
pre-print
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To overcome the issue, fog/ edge topology has emerged, where partial computation is carried out in the edge of the network to reduce the delay in communication. ...
While cloud paradigm is suitable for the capability of storage and computation, the major bottleneck is network connectivity loss. ...
formulation Zhao et al., 2020 [56] Personalized location Sentimental-spatial recommendation POI mining Personalized Ghosh et al., 2018 [57] Location prediction from Hierarchical and layered Hidden ...
arXiv:2007.04193v1
fatcat:ghxpcgofpraxfhosirzfa7bzhi
Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches
2018
ISPRS International Journal of Geo-Information
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In this study, we predict next places based on one trajectory dataset but with systematically varying prediction algorithms, methods for space discretization, scales of prediction (based on a novel hierarchical ...
Moreover, our user-independent approach reaches a prediction accuracy of around 75%, and is therefore an alternative to existing user-specific models. ...
Acknowledgments: This research was supported by the Swiss National Science Foundation (SNF) within NRP 71 "Managing energy consumption" and is part of the Swiss Competence Center for Energy Research SCCER ...
doi:10.3390/ijgi7050166
fatcat:o7f3j7v3xzgbxjpjnytdmt43qe
Spatio-semantic user profiles in location-based social networks
2017
International Journal of Data Science and Analytics
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In this paper, semantic information is summarised as tags for places and a folksonomy data model is used to represent spatial and semantic relationships between users, places, and tags. ...
The main contributions of this work are the proposal of a uniform approach to the creation of user profiles on the Social Web that integrates both the spatial and semantic components of user-provided information ...
distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in ...
doi:10.1007/s41060-017-0059-9
dblp:journals/ijdsa/MohamedA17
fatcat:zuhztegzvfapzkhujqb5mvpbsm
On user-centric tools for QoE-based recommendation and real-time analysis of large-scale markets
2014
IEEE Communications Magazine
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It also cross-correlates measurements obtained by u-map to provide geo-statistics, user profiles, and quality of experience prediction models for different services. ...
It presents a user-centric recommendation system (called u-map) that enables users to collect network measurements and subjective opinion scores about the performance of various services. ...
This work is supported by the General Secretariat for Research and Technology in Greece with a Research Excellence, Investigator-driven grant, 2012 and by a Google Faculty Research Award, 2013 (PI Maria ...
doi:10.1109/mcom.2014.6894450
fatcat:klzzkmrggvh2rexgaxufr7as6y
Location Extraction and Prediction Method Based on Floating Car Spatial-Temporal Trajectory
2020
ISPRS International Journal of Geo-Information
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Predicting the next important location by mining the user's historical spatial-temporal trajectory can be done for behavioral analysis and path planning. ...
To realize the estimation of parameters dynamically, the differences of floating car velocity in terms of spatial distribution and behavior in time distribution are considered in the location extraction ...
Since the personalized location prediction is based on user's own behaviors, building a separate prediction model for each user might be preferable [5] . ...
doi:10.3390/ijgi9050302
fatcat:wmg54vwxsvgtffnlnw2u2ks5re
AI and Deep Learning for Urban Computing
[chapter]
2021
The Urban Book Series
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Finally, we discuss the applications of urban computing including urban planning, urban transportation, location-based social networks (LBSNs), urban safety and security, and urban-environment monitoring ...
In this chapter, we introduce the challenges, methodologies, and applications of AI techniques for urban computing. ...
This approach contains an artificial neural network to model the spatial correlation between the AQI of different locations, and a temporal classifier to model the temporal dependency of AQI in a location ...
doi:10.1007/978-981-15-8983-6_43
fatcat:uq7j3hvsvzfl5lq33omx64un3i
Current Trends and Challenges in Location-Based Services
2018
ISPRS International Journal of Geo-Information
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Location-based services (LBS) are a growing area of research. ...
Special Issue together with other recent events and publications concerning LBS show that the scientific field of LBS is rapidly evolving, and that LBS applications have become smarter and more ubiquitous in ...
[12] proposed an algorithm for top-k spatial preference queries in directed road networks. To reduce query processing time, a method for the pruning and grouping of feature objects was proposed. ...
doi:10.3390/ijgi7060199
fatcat:4lhh36i2ozhwzfiyoujssozm4a
Socially-Aware Traffic Management
[chapter]
2014
Socioinformatics - The Social Impact of Interactions between Humans and IT
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Socially-aware traffic management utilizes social information to optimize traffic management in the Internet in terms of traffic load, energy consumption, or end user satisfaction. ...
well as practical aspects in this domain. ...
The authors alone are responsible for the content. ...
doi:10.1007/978-3-319-09378-9_3
fatcat:57u3hz7jpnbgxctdu7yjpxj23u
Points-of-interest Recommendation Algorithm Based on LBSN in Edge Computing Environment
2020
IEEE Access
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People can use the portable terminal to access the Internet, and use the geographic information and social attributes in LBSN to define the geographic location preferences of users to access points of ...
With the advancement of the Internet of Everything era and the popularity of mobile devices, Location-based Social Networks (LBSN) have penetrated people's lives. ...
[12] defined a new clustering method DCPGS (Density-based Clustering Places in Geo-Social Networks, DCPGS) on the Geo-Social Network (GeoSN) model. ...
doi:10.1109/access.2020.2979922
fatcat:zaacjuvo35hohceprw54xsqnoq
Automatic image semantic interpretation using social action and tagging data
2010
Multimedia tools and applications
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In this survey, we review nearly 200 representative papers to identify the current trends, challenges as well as opportunities presented by social inputs for research on image semantics. ...
Social inputs with their added context represent a strong substitute for expert annotations. ...
Additional references can be found in [77, 151] for temporal analysis and in [56, 99, 128] for spatial analysis. ...
doi:10.1007/s11042-010-0650-8
fatcat:kqu6kyess5f3re554jsueuuzem
Distributed messaging and light streaming system for combating pandemics
2021
Journal of Ambient Intelligence and Humanized Computing
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In this paper, we present a distributed and light streaming system for combating pandemics and give a case study on spatial analysis of the COVID-19 geo-tagged Twitter dataset. ...
In this system, three of the major components are the translation of tweets matching with user-defined bounding boxes, name entity recognition in tweets, and skyline queries. ...
Apart from COVID-19, other kind of diseases and well-being, and social networks (Vianna and Barbosa 2020; Vianna et al. 2017) can be used for spatial analysis in distributed way. ...
doi:10.1007/s12652-021-03328-0
pmid:34127932
pmcid:PMC8190525
fatcat:uebu243jrzh6tl3dse6xja4xaq
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