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On the efficiency of social recommender networks

Felix Ming Fai Wong, Zhenming Liu, Mung Chiang
2015 2015 IEEE Conference on Computer Communications (INFOCOM)  
Second, based on these metrics, we extensively study the tradeoff between the two factors in a Yelp dataset, concluding that Yelp's social network is surprisingly efficient, though not optimal.  ...  We study a fundamental question that arises in social recommender systems: whether it is possible to simultaneously maximize (a) an individual's benefit from using a social network and (b) the efficiency  ...  Let us refer to the resultant benefit as the local utility of the social network. (b) It also helps the recommender system in disseminating information or recommendations more efficiently.  ... 
doi:10.1109/infocom.2015.7218619 dblp:conf/infocom/WongLC15 fatcat:zxr5i7wkmzeg7naak4636xmysq

On the Efficiency of Social Recommender Networks

Felix Ming Fai Wong, Zhenming Liu, Mung Chiang
2016 IEEE/ACM Transactions on Networking  
Second, based on these metrics, we extensively study the tradeoff between the two factors in a Yelp dataset, concluding that Yelp's social network is surprisingly efficient, though not optimal.  ...  We study a fundamental question that arises in social recommender systems: whether it is possible to simultaneously maximize (a) an individual's benefit from using a social network and (b) the efficiency  ...  Let us refer to the resultant benefit as the local utility of the social network. (b) It also helps the recommender system in disseminating information or recommendations more efficiently.  ... 
doi:10.1109/tnet.2015.2475616 fatcat:s4fee3taj5cyhdikgl6nadtf3i

Maximum Recommendation in Geo-social Network for Business

2019 Tehnički Vjesnik  
On the one hand, we identify k nodes with maximum recommendation according to the expected paid node number k. On the other hand, we exclude the negative node from the geo-social network.  ...  To remove the shortcomings, we propose a Maximum Recommendation scheme in Geo-social network for business (called as MRG).  ...  Our model can effectively reduce the company's recommendation cost and improve the recommendation effect. Meanwhile, we enhance the efficiency of updating geo-social network.  ... 
doi:10.17559/tv-20181105122320 fatcat:ufbmkul6g5h2fgeohbfipfmhga

Introduction to social recommendation

Irwin King, Michael R. Lyu, Hao Ma
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
As the exponential growth of information generated on the World Wide Web, Social Recommendation has emerged as one of the hot research topics recently.  ...  Moreover, we will discuss the challenging issues involved in Social Recommendation in the context of theory and models of social networks, methods to improve recommender systems using social contextual  ...  Fourth, security and privacy issues are of grave concern on the Web, especially in social networks.  ... 
doi:10.1145/1772690.1772927 dblp:conf/www/KingLM10 fatcat:ldryelz6r5gpvputovnviza3cy

Collaborative Filtering Recommendation Algorithm Based on Multi-Relationship Social Network

Sheng Bin, Gengxin Sun, Ning Cao, Jinming Qiu, Zhiyong Zheng, Guohua Yang, Hongyan Zhao, Meng Jiang, Lina Xu
2019 Computers Materials & Continua  
Aiming at the problem, a collaborative filtering recommendation algorithm based on multirelational social networks is proposed.  ...  Thus, the execution efficiency of the algorithm is improved without reducing the accuracy of recommendation.  ...  Experiments on real data sets show that the proposed algorithm can improve the efficiency of recommendation algorithm on the basis of guaranteeing the accuracy of recommendation.  ... 
doi:10.32604/cmc.2019.05858 fatcat:zl7wwakdfjf65p4vxrtqsgp3di

Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems

Jun Wu, Zhou Su, Shen Wang, Jianhua Li
2017 Sensors  
However, because of constrained computing and storage resources of the sensors nodes, the efficiency of the social organization is limited.  ...  Meanwhile, the efficient social organization can enable more flexible, secure, and collaborative networking.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s17081744 pmid:28758943 pmcid:PMC5579516 fatcat:63hl45jmmzc65kbwxilxfg765y

Editorial

Anwitaman Datta, Ee-Peng Lim, Stuart W. Shulman
2013 Social Network Analysis and Mining  
Lim School of Information Systems, Singapore Management University, 80 Stamford Road, Singapore 178902, Singapore e-mail: eplim@smu.edu.sg  ...  Datta (&) School of Computer Engineering, Nanyang Technological University, Blk N4, North Spine, Nanyang Avenue, Singapore 639798, Singapore e-mail: anwitaman@ntu.edu.sg; anwitaman@gmail.com E.-P.  ...  The fourth paper entitled ''Robustness of social and web graphs to node removal'' discovers the effect of different node removal strategies on the structure of social and web networks using efficient graph  ... 
doi:10.1007/s13278-013-0145-5 fatcat:ihjipx52zfge7opu5a6wop3wtu

Trust-based recommender system to solve the problem of cold start in social networks

Sadeghi Elham
2021 Zenodo  
A social network is one of the types of social media, which is a place for the formation of virtual communities and networking of Internet users.  ...  Social networks have managed to attract significant Internet users. Some web analysts considered the future of cyberspace at the disposal of these types of sites.  ...  The challenge of privacy is one of the most important issues that has always been raised about social networks.  ... 
doi:10.5281/zenodo.5557936 fatcat:h4mafyftwvhf3ibx2sqnaako3m

Innovative Applications and Security of Internet of Things

Hung-Yu Chien, YingJiu Li, Nai-Wei Lo
2014 International Journal of Distributed Sensor Networks  
One potential application is integrating social networks with IoT, which results in the social Internet of things (SIoT).  ...  The paper "A case study on the power-aware protocol framework for wireless sensor networks" discusses the challenges of designing power-aware protocols which are capable of operating for long periods of  ...  One potential application is integrating social networks with IoT, which results in the social Internet of things (SIoT).  ... 
doi:10.1155/2014/717898 fatcat:c3qbxqphfbca7ch57awrg6vzeq

Neural Learning Technique Inculcation for Commended Social Network Rating (CSNR) System

K.T.Senthil Kumar, R. Ponnusamy
2017 Application and Theory of Computer Technology  
Broadcasting the online social networks, the main aim over proposed suggestions of social websites became desperate for victory of online applications signifying role in accessing user preference.  ...  The main aim is to incorporate the neural learning technique that classifies the positive and negative feedbacks from the trustee and according to their prediction the social network rating will be done  ...  Result analysis The Commended system rating the social network websites will be more accurate than any other rating system as it recommends not only on the basis of suggestions and recommendations but  ... 
doi:10.22496/atct20170103123 fatcat:ipoorpcopndtdm6jy5tko3mvde

Social Group Recommendation based on Big Data

Ms. Nikita S. Mohite, Mr. H. P. Khandagale
2018 International Journal of Trend in Scientific Research and Development  
The recommender system is economical, objective and correct.  ...  Now it is easy to merge computing, networking and society with physical systems to create new revolutionary science, technical capabilities and better quality of life.  ...  Content based filtering recommends items based on comparison between the content of the items and user profile.  ... 
doi:10.31142/ijtsrd7097 fatcat:ekvgdxzksfal3g2beqvoqliw7a

Social Recommendation in Dynamic Networks [chapter]

Hao Ma, Irwin King, Michael R. Lyu
2014 Encyclopedia of Social Network Analysis and Mining  
Acknowledgments The work described in this article is supported by grants from the Research Grant Council of the Hong Kong Special Administrative Region, China (Project No.: CUHK 413212 and CUHK 415212  ...  Social Recommender System Recommender Systems, Semantic-Based Social Recommendation in Dynamic Networks Social Reconnaissance Reconnaissance and Social Engineering Risks as Effects of Social Networking  ...  From this point of view, the traditional recommender systems that ignore the social network structure of the users may no longer be suitable.  ... 
doi:10.1007/978-1-4614-6170-8_189 fatcat:dq3zt5l6xrg4rl7vcchhp7uoqa

The Role of Enterprise Social Networking (ESN) on Business: Five Effective Recommendations for ESN [chapter]

Saeed M. Alqahtani, Sultan Alanazi, Derek McAuley
2014 Advances in Intelligent Systems and Computing  
The aim of this study is to analyze and investigate the spread of social networking in the workplace in order to determine how a social network influences business and society, as well as how we can reshape  ...  The growth of social networking over the recent past has been phenomenon and business gains and opportunities generated by social networking sites such as Facebook, MySpace, LinkedIn and Tweeter among  ...  as how one can reshape and/or guide the Enterprise Social Network (ESN) to a more efficient future business environment.  ... 
doi:10.1007/978-3-319-07013-1_3 fatcat:vz4icysrhzfqjetzbxwvqjkjgy

Computational Aspects of Social Network Analysis

Przemyslaw Kazienko, Reda Alhajj, Jaideep Srivastava
2015 Scientific Programming  
Acknowledgments The work was partially supported by The National Science Centre, decision no.  ...  DEC-2013/09/B/ST6/02317, and the European Commission under the 7th Framework Programme, Coordination and Support Action, Grant Agreement no. 316097, the ENGINE project.  ...  The paper "On Efficient Link Recommendation in Social Networks Using Actor-Fact Matrices" deals with the same problem as the previous paper, prediction of new links in the social network.  ... 
doi:10.1155/2015/961610 fatcat:pilnxzmsnne4tbet6mhyusoja4

Exploring Trusted Relations among Virtual Interactions in Social Networks for Detecting Influence Diffusion

Heba M. Wagih, Hoda M. O. Mokhtar, Samy S. Ghoniemy
2019 ISPRS International Journal of Geo-Information  
Finally, experimental results, performed on three large scale location-based social networks, namely, Brightkite, Gowalla, and Weeplaces, to test the efficiency of the proposed algorithm, are presented  ...  Next, a Friend-of-Friend recommendation (FoF-SocialI) algorithm is addressed to detect the influence of social ties in the recommendation process.  ...  Funding: This work was supported by a fund from The British University in Egypt. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi8090415 fatcat:e5cttykanfbljpyuhpqazd2bby
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