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IEEE Access Special Section Editorial: Artificial Intelligence and Cognitive Computing for Communication and Network

Yin Zhang, Giancarlo Fortino, Limei Peng, Iztok Humar, Jianshan Sun
2020 IEEE Access  
, e.g., statistical learning, feedforward neural networks, deep recurrent neural networks, etc., for complicated decision making, network management, resource optimization, and in-depth knowledge discovery  ...  Advanced communications and networks greatly enhance the user experience, and have a major impact on all aspects of people's lifestyles in terms of work, society, and the economy.  ...  Furthermore, an optimization model is introduced to find the best PSM duration, which is configured to minimize energy consumption and average delay according to users' preference.  ... 
doi:10.1109/access.2020.3014475 fatcat:z3xpk3x7ofhjbf7vmj2glozx6y

One of a Kind

Xue Geng, Hanwang Zhang, Zheng Song, Yang Yang, Huanbo Luan, Tat-Seng Chua
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
First, we automatically construct a content-based user preference ontology and learn the ontological models to generate comprehensive user profiles.  ...  In particular, we propose a new deep learning strategy called multi-task convolutional neural network (mtCNN) to learn profile models and profile-related visual features simultaneously.  ...  On the other hand, the diverse and noisy usergenerated contents prevent us from learning content-based models of user preference, leaving them as the "dark matters" of the "social universe" [5] .  ... 
doi:10.1145/2647868.2654950 dblp:conf/mm/GengZSYLC14 fatcat:drvzd5jsojdp7jqzbrmcfdqxgu

A Survey on Computational Politics [article]

Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui
2020 arXiv   pre-print
platforms. e.g., online social networks, online forums, and political debates.  ...  With the rapid development and ease of access to the Internet, Information Communication Technologies (ICT) have given rise to massive numbers of users joining online communities and the digitization of  ...  [123] predicts link formation and dissolution with several models for a politician based on a dataset of German Politicians 3 .  ... 
arXiv:1908.06069v2 fatcat:pddftf5k25errpzrpgavkbs32m

A Survey on Computational Politics

Ehsan ul Haq, Tristan Braud, Young D. Kwon, Pan Hui
2020 IEEE Access  
platforms. e.g., online social networks, online forums, and political debates.  ...  INDEX TERMS Computational politics, computers and information processing, social computing, social network analysis, user modelling, discourse analysis, digital humanities.  ...  For prediction, it proposed three models: the first model is based on the event count in a monthly time period and the event properties; the second model considers the network properties; the third model  ... 
doi:10.1109/access.2020.3034983 fatcat:2bmalhdbwnfblbawqs2vylyeqm

Consumers Team Detection Model Based on Trust for Multi-Level

Xiaoming Li, Guangquan Xu, Sandhya Armoogum, Honghao Gao
2019 Mobile Information Systems  
By studying three real-world multilevel social networks and specific QQ Zone marketing data, the model defines a new metric of community trust based on similarity.  ...  When both the scale of mobile social network and the coplexity of social network user behaviors grow, similar groups are hidden in user behaviors.  ...  To address these problems, we propose a model for local community detection within a multilevel network based on trust.  ... 
doi:10.1155/2019/4147859 fatcat:6cnbn4tuhbhxjbeke3xazbi5ea

Personalized Recommendation for Online Social Networks Information: Personal Preferences and Location-Based Community Trends

Shaymaa Khater, Denis Gracanin, Hicham G. Elmongui
2017 IEEE Transactions on Computational Social Systems  
Online social networks are experiencing an explosive growth in recent years in both the number of users and the amount of information shared.  ...  Thus, finding the "matching" users and content is one of the key challenges for social networks sites.  ...  Online social networks are experiencing an explosive growth in recent years in both the number of users and the amount of information shared.  ... 
doi:10.1109/tcss.2017.2720632 fatcat:2vwf4spdwrhwncxv22ukuzqlve

Taxonomy of Link Prediction for Social Network Analysis: A Review

Herman Yuliansyah, Zulaiha Ali Othman, Azuraliza Abu Bakar
2020 IEEE Access  
The concepts of the multilevel deep network-based learning model and user consumption preferences have been introduced by Sharma et al  ...  20] instead of online social networks.  ...  Author Name: Preparation of Papers for IEEE Access (February 2017) VOLUME XX, 2017 Prof. Dr.  ... 
doi:10.1109/access.2020.3029122 fatcat:unnprjee2zghfadgm3lhyn2tgm

Scanning the Issue and Beyond: Real-Time Social Transportation with Online Social Signals

Fei-Yue Wang
2014 IEEE transactions on intelligent transportation systems (Print)  
various smart apps that collect social traffic data and link people to traffic and cars in real time); 5) real applications and feedback for more research and development.  ...  Choi This paper proposes a novel model to address the energyefficient traffic signal timing problem for a congested road network with heterogeneous users.  ... 
doi:10.1109/tits.2014.2323531 fatcat:pbsgn4vg3nhnncssuofnytdnwi

Monitoring obesity prevalence in the United States through bookmarking activities in online food portals

Christoph Trattner, Denis Parra, David Elsweiler, Rodrigo Huerta-Quintanilla
2017 PLoS ONE  
We argue that this process could be supported and hastened using data collected via online social networks.  ...  In this work we investigate the relationships between the online traces left behind by users of a large US online food community and the prevalence of obesity in 47 states and 311 counties in the US.  ...  Acknowledgments The authors would like to thank Matias Hurtado for his preliminary analysis on the dataset and Bernd Luwig for his valuable feedback on an earlier draft of this manuscript.  ... 
doi:10.1371/journal.pone.0179144 pmid:28636665 pmcid:PMC5479550 fatcat:i2thuiemmnet5hvkyicxt7tfv4

What Affects First- and Second-Level Selective Exposure to Journalistic News? A Social Media Online Experiment

Jakob Ohme, Cornelia Mothes
2020 Journalism Studies  
What affects first-and second-level selective exposure to journalistic news? A social media online experiment Ohme, J.; Mothes, C.  ...  We furthermore thank Erich Stadler and Claudia Seifert for their help in crawling the news post material.  ...  Acknowledgements We express our gratitude to Erich Stadler for his tremendous efforts in developing the software application used in this study.  ... 
doi:10.1080/1461670x.2020.1735490 fatcat:jhtpyktgujeedcdg7fgp7zzgdi

A classification method for social information of sellers on social network

Haoliang Cui, Shuai Shao, Shaozhang Niu, Chengjie Shi, Lingyu Zhou
2021 EURASIP Journal on Image and Video Processing  
We collect 38,970 sellers' information, extract the text information in the picture with the help of OCR, and establish a deep learning model based on BERT to classify the merchandise of sellers.  ...  In the final experiment, we achieve an accuracy of more than 90%, which shows that the model can accurately classify sellers on a social network.  ...  Availability of data and materials https://github.com/cuihaoliang/User-portraits-of-social-e-commerce Competing interests The authors declare that they have no competing interests.  ... 
doi:10.1186/s13640-020-00545-z fatcat:44fhaf2gxvfgbgvqwhzlej3py4

My Friends, Editors, Algorithms, and I

Neil Thurman, Judith Moeller, Natali Helberger, Damian Trilling
2018 Digital Journalism  
Permanent repository link: http://openaccess.city.ac.uk/19970/ Link to published version: http://dx.Prompted by the ongoing development of content personalization by social networks and mainstream news  ...  Age, trust in news, concerns about privacy, mobile news access, paying for news, and six other variables had effects.  ...  ACKNOWLEDGEMENTS The authors thank Reuters Institute for the Study of Journalism and YouGov for permission to use data from the 2016 Digital News Report survey and Jessica Kunert for conducting the interviews  ... 
doi:10.1080/21670811.2018.1493936 fatcat:w5oarrbpx5eubndlr5k43e7vqq

Online News User Journeys: The Role of Social Media, News Websites, and Topics

Susan Vermeer, Damian Trilling, Sanne Kruikemeier, Claes de Vreese
2020 Digital Journalism  
The complexity and diversity of today's media landscape provides many challenges for scholars studying online news consumption. Yet it is unclear how news consumers navigate online.  ...  We also found a strong preference for entertainment news over any other topic. Although social media often offer entertainment news, they are not necessarily the starting point to such news.  ...  Context and Content Features Turning to the interaction between context and content features in online news consumption, our hypotheses predict that social media are more likely to expose users to entertainment  ... 
doi:10.1080/21670811.2020.1767509 fatcat:bmu3thuqzncshbkevsvqpdfcty

Efficient Context Management and Personalized User Recommendations in a Smart Social TV Environment [chapter]

Fotis Aisopos, Angelos Valsamis, Alexandros Psychas, Andreas Menychtas, Theodora Varvarigou
2017 Lecture Notes in Computer Science  
The model evaluation provided is based on datasets collected online, presenting a comparative analysis concerning efficiency and effectiveness of the current approach, and illustrating its added value.  ...  in the context of a Dynamic Social & Media Content Syndication (SAM) platform.  ...  The lack of such attributes drives them to search intuitively in the social media or online search engines for content.  ... 
doi:10.1007/978-3-319-61920-0_8 fatcat:mr6xl5as4zhk5a4biqh5x5o4qe

Navigating High-choice European Political Information Environments: A Comparative Analysis of News User Profiles and Political Knowledge

Laia Castro, Jesper Strömbäck, Frank Esser, Peter Van Aelst, Claes de Vreese, Toril Aalberg, Ana S. Cardenal, Nicoleta Corbu, David Nicolas Hopmann, Karolina Koc-Michalska, Jörg Matthes, Christian Schemer (+6 others)
2021 The International Journal of Press/Politics  
Our results show that five user profiles – news minimalists, social media news users, traditionalists, online news seekers, and hyper news consumers – can be identified, although the prevalence of these  ...  However, online-based news use is more widespread in Southern Europe, where it is associated with lower levels of political knowledge than in Northern Europe.  ...  The collection of data in Hungary and Poland was supported by the Economic and Social Research Council [ES/S01019X/1].  ... 
doi:10.1177/19401612211012572 fatcat:3eni5xff3jatbciis27k6oeciy
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