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Semantically-enhanced advertisement recommender systems in social networks

Ali Pazahr, J. Javier Samper Zapater, Francisco García Sánchez, Carmen Botella, Rafael Martinez
2016 Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services - iiWAS '16  
I wish all the best for these dear people. This Thesis is included in the Spanish MINECO project ''Radio Access Technologies for Heterogeneous Wireless Networks'' (RACHEL TEC2013-47141-C4-4-R).  ...  Semantically-enhanced advertisement recommender systems in social networks.  ...  In this study a philosophy of a system speaking to of a comprehensive structure of advertisement recommender system for social networks will be presented.  ... 
doi:10.1145/3011141.3011489 dblp:conf/iiwas/PazahrZSBM16 fatcat:oi4kf355ovhkvl3wckpzfjajsu

Survey on Web Mining Techniques and Challenges of E-commerce in Online Social Networks

K. N. Asha, R. Rajkumar
2016 Indian Journal of Science and Technology  
Thus this system should be based on user's navigational patterns 6, 7 . Using Web usage mining there are many different ways through which a recommender system can be created,  ...  Web Usage Mining for Shopping Websites Motivation and Challenges As OSN has become an important platform for online shopping. Online Recommendation is being used by many shopping websites.  ...  As the architecture of Semantic Web 15, 16 explains the various advantages layers including trustworthiness of information, this can be used for building a trustworthy recommender system which avoids  ... 
doi:10.17485/ijst/2016/v9i13/85481 fatcat:c4zip4na3zefji3vuwi3thbhau

Exploiting content relevance and social relevance for personalized ad recommendation on internet TV

Bo Wang, Jinqiao Wang, Hanqing Lu
2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
And then semantic content relevance (between product/ad and TV video) and social relevance (between product/ad and user interest) are calculated by projecting the corresponding tags into our advertising  ...  In this article, we introduce a scheme to provide targeted ad recommendation to Internet TV users by exploiting the content relevance and social relevance.  ...  For instance, Zimmerman et al. [2004] presented a TV personalization system that uses explicit and implicit viewer's profile for recommendation.  ... 
doi:10.1145/2501643.2501648 fatcat:gygcs4tmeneynbnrpz7lr35wlu

Knowledge discovery over community-sharing media: From signal to intelligence

Winston Hsu, Tao Mei, Rong Yan
2009 2009 IEEE International Conference on Multimedia and Expo  
We review the research advances for enabling such applications and present a brief outlook on open issues and major opportunities.  ...  applications such as annotation, automatic training data acquisition, contextual advertising, and visualization.  ...  Leverage social annotation as training data Online social annotation has proved a valuable resource for learning media semantics.  ... 
doi:10.1109/icme.2009.5202775 dblp:conf/icmcs/HsuMY09 fatcat:nzblrwkfjfdcvfhlc65pvkotbi

A Photo Post Recommendation System Based on Topic Model for Improving Facebook Fan Page Engagement

Chia-Hung Liao, Li-Xian Chen, Jhih-Cheng Yang, Shyan-Ming Yuan
2020 Symmetry  
Therefore, we built a topic model recommendation system (TMRS) to analyze Facebook posts by sorting the target posts according to the recommended scores.  ...  Ultimately, advertisers can have the chance to create ads for the post with potentially high engagements under a limited budget.  ...  System Architecture and Implementation In order to provide a recommended post list with high engagement potential for social media managers, we design a system for computing a recommendation score by comparing  ... 
doi:10.3390/sym12071105 fatcat:wau6w4bi4bhjlj2d3cnh4etkla

Framework for NFC-Based Intelligent Agents: A Context-Awareness Enabler for Social Internet of Things

Chih-Hao Lin, Pin-Han Ho, Hong-Chuan Lin
2014 International Journal of Distributed Sensor Networks  
The resultant social-advertising system shows that this framework can support a wide-range of different functionalities and is indispensable to an NFC-based intelligent agent for social Internet of things  ...  By developing a complete ontology knowledgebase, the proposed framework can incorporate with social-cooperation schemes to recommend relevant services for supporting reactive action, proactive achievement  ...  In Section 5, a credit-based incentive scheme is proposed to incorporate with a social advertising system to encourage social cooperation. Several ontology models are proposed for the system.  ... 
doi:10.1155/2014/978951 fatcat:i36tdp2lwjhz3orzugnbqsgnxe

Advertising recommendation system based on dynamic data analysis on Turkish speaking Twitter users

2017 Tehnički Vjesnik  
The developed system has been tested on a voluntary participant group who actively uses Twitter, and the effectiveness of the system is demonstrated by the received feedback.  ...  Preporučeni sustav oglašavanja zasnovan na dinamičkoj analizi podataka turskih korisnika Twittera Original scientific paper Online environments and especially social networks have become a great alternative  ...  Acknowledgements Special thanks to Süleyman Demirel University Scientific Research Projects Coordination Unit for supporting this study as 4083-Dl-14 No. project. References  ... 
doi:10.17559/tv-20151020205558 fatcat:36hqjyao7nfpfbpg53pa4usqtq

Psychological methods as applied to advertising

Edward K., Jr. Strong
1913 Journal of Educational Psychology  
The author gives the practical recommendations for using sociopsychological methods of persuasion, suggestion and manipulation of consciousness in social advertising, depending on the specificity of advertising  ...  The author operationalizes the concepts of "social advertising" and "socio-psychological impact" concerning to the issues of research.  ...  In the context of a democratic civil society social advertising provides the continuity of human values system, including integrity, tolerance, respect for the environment, etc.  ... 
doi:10.1037/h0070583 fatcat:o7c4bkx72jaqvdkvfvv2ndepzu

A diffusion mechanism for social advertising over microblogs

Yung-Ming Li, Ya-Lin Shiu
2012 Decision Support Systems  
Social media have increasingly become popular platforms for information dissemination.  ...  Our experimental results show that the proposed model could provide advertisers with suitable targets for diffusing advertisements continuously and thus efficiently enhance advertising effectiveness.  ...  Although the details of systems vary, content-based recommendation systems share in common the means for describing the items to be recommended: a means for creating a user's profile that describes the  ... 
doi:10.1016/j.dss.2012.02.012 fatcat:n6pkr6vxqfcorfcafypjvophpm

Service Subscription and Consumption for Personal Web Applications [chapter]

Chunyang Ye, Young Yoon, Hans-Arno Jacobsen
2013 Lecture Notes in Computer Science  
This new concept is driven by events exposed from Semantic Web resources and Web services through PADRES, a distributed content-based publish/subscribe messaging substrate, and POLARIS an approach for  ...  Web services have played a vital role in our daily life for some time now.  ...  This research was in part supported by IBM's Center for Advanced Studies, an IBM Faculty Award, a Discovery Accelerator Supplement and a Discovery grant from the Natural Sciences and Engineering Research  ... 
doi:10.1007/978-3-642-39995-4_3 fatcat:muc6j6fpwjcqdgz5tu2vbriqvi

Context-Aware Computing: Beyond Search and Location-Based Services

Pankaj Mehra
2012 IEEE Internet Computing  
Acknowledgments I thank Daniel Tunkelang of LinkedIn for his help in publicizing the call for papers and identifying reviewers for this special issue.  ...  or advertiser for situational advertising purposes, or to a content-recommendation service in order to achieve the greatest amount of situational appropriateness.  ...  One notable recent development in context-aware recommender systems is Facebook's Taste recommendation engine for its OpenGraph platform.  ... 
doi:10.1109/mic.2012.31 fatcat:4xvnfzase5clzbnzmfkiolzbce

Aposentu: A Social Semantic Platform for Hotels

Gavina Baralla, Simona Ibba, Riccardo Zenoni
2017 Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
The platform will be cloud computing technology based and it will show a proper dashboard with a lot of innovative functionalities.  ...  By using semantic tools, sentiment analysis, complex network metrics, the platform will allow the hoteliers to become more competitive in the tourism industry.  ...  The system will consist of four components: • a social semantic tool to organize tourist and accommodation terminology in a semantic way; • a contextual advertising module connected with social networks  ... 
doi:10.5220/0006511702690274 dblp:conf/ic3k/BarallaIZ17 fatcat:wn5nizn4ifeo7ptgfuspwkpaji

From Bikers to Surfers: Visual Recognition of Urban Tribes

Iljung Kwak, Ana Murillo, Peter Belhumeur, David Kriegman, Serge Belongie
2013 Procedings of the British Machine Vision Conference 2013  
A key element common to our work and related works is the need for both global image statistics as well as more semantic individual level attributes.  ...  Automatic urban tribe classification can improve recommendation systems and user experience with social media, and image search engines can take advantage of this classification and provide more meaningful  ...  Automatic urban tribe classification can improve recommendation systems and user experience with social media, and image search engines can take advantage of this classification and provide more meaningful  ... 
doi:10.5244/c.27.14 dblp:conf/bmvc/KwakMBKB13 fatcat:z4hdpcazeneyrhisv7bxdpmssi

Video eCommerce

Zhi-Qi Cheng, Yang Liu, Xiao Wu, Xian-Sheng Hua
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
In this paper, we propose an advertising system named Video eCommerce to exhibit appropriate product ads to particular users at proper time stamps of videos, which takes into account video semantics, user  ...  The prevalence of online videos provides an opportunity for e-commerce companies to exhibit their product ads in videos by recommendation.  ...  Although extensive research has been conducted for recommended systems, for video advertising, froementioned research mainly considers the relationship between users and products, the semantics of product  ... 
doi:10.1145/2964284.2964326 dblp:conf/mm/ChengLWH16 fatcat:rl2cv6cmfffu5gttfwhf3vwdeq

Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions [article]

Bilal Abu-Salih, Bushra Bremie, Pornpit Wongthongtham, Kevin Duan, Tomayess Issa, Kit Yan Chan, Mohammad Alhabashneh, Teshreen Albtoush, Sulaiman Alqahtani, Abdullah Alqahtani, Muteeb Alahmari, Naser Alshareef, Abdulaziz Albahlal
2019 arXiv   pre-print
The wealth of Social Big Data (SBD) represents a unique opportunity for organisations to obtain the excessive use of such data abundance to increase their revenues.  ...  This is associated with a critical evaluation of the current approaches, and fortified with certain recommendations indicated to bridge the research gap.  ...  [13] present the "WTF: Who To Follow" service which is being used as a recommendation system for the Twitter social network.  ... 
arXiv:1902.10402v1 fatcat:rkbggcretncm5ngydhxkpf4o5q
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