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Collaborative Filtering with Preventing Fake Ratings

Dr. A. Srinivasa Rao, B. Bhagyalakshmi, Ab. Sirajunnisa | Md. Ashraf | E. Harika | Ch. Gangadhar
2018 International Journal of Trend in Scientific Research and Development  
In this paper, we increase a set of matrix factorization (MF) a nearest-neighbor (NN)-based recommended systems (RSs) that explore user social network and group association information for social voting  ...  Social voting is a promising new feature in online social networks. It has distinctive challenges and opportunities for suggestion.  ...  In this paper, we increase a set of matrix factorization (MF) and based recommended systems (RSs) that explore user social network and group association information for social voting recommendation.  ... 
doi:10.31142/ijtsrd11334 fatcat:hdapuiilrngxbn5fsbgah26x5i

User Service Rating Prediction System by Exploring Social Users Rating Behavior

Skive Arasan
2017 International Journal for Research in Applied Science and Engineering Technology  
Nowadays many people are sharing what they are doing in social networking sites with their friends and their followers and there are vast amount of reviews, ratings, descriptions about a product or local  ...  In case of new users these types of reviews plays a vital role in deciding whether to go for that specific service or not.  ...  Joint Social and Content Recommendation for User-Generated Videos in Online Social Network Zhi Wang, Student Member, Lifeng Sun, Wenwu Zhu, Shiqiang Yang, Hongzhi Li, and Dapeng Wu Online social network  ... 
doi:10.22214/ijraset.2017.3232 fatcat:aehzxhb54re2tk73kxpkewprha

HealthTrust: A Social Network Approach for Retrieving Online Health Videos

Luis Fernandez-Luque, Randi Karlsen, Genevieve B Melton
2012 Journal of Medical Internet Research  
In addition, we would like to thank the Diabetes Hands Foundation for their support in the recruitment of people with diabetes.  ...  Joseph A Kostan from the GroupLens group in the Department of Computer Science and Engineering at the University of Minnesota.  ...  Gou et al explored how to use social network analysis for ranking online videos in a personalized manner [21] .  ... 
doi:10.2196/jmir.1985 pmid:22356723 pmcid:PMC3374533 fatcat:ks5s6pafmjgctf3ysgan5csh6y

Trust Calculation with Ant Colony Optimization in Online Social Networks

Shashvat Sanadhya, Shailendra Singh
2015 Procedia Computer Science  
Hence we are proposing an algorithm (Trust-ACO) to calculate trust in online social network. Trust calculation is based on probabilistic trust rule, social intimacy pheromone.  ...  Real world lives in the 'Aeon' of virtual connectivity; social network is a platform where people share emotions, activities, relation etc.  ...  Walter et al. 23 proposed recommendation system for online social networking in which they assign priority trust value to a recommender based on recommendation behaviour of participant.  ... 
doi:10.1016/j.procs.2015.06.021 fatcat:ti5lc2xl3nd6fnvqqxepr6kybq

User Opinion based Trust Value Prediction for Online Social Network

Abinaya R
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Online social networking has caused profound changes in the way people communicate and interact.  ...  A user in this system is associated with a few trusted users that were selected from the user's friends.  ...  A trust-based approach was proposed for collaborative privacy management in Social Network.  ... 
doi:10.32628/cseit206491 fatcat:inakei4ljzaj5kngkxayxiccx4

Joint Social and Content Recommendation for User-Generated Videos in Online Social Network

Zhi Wang, Lifeng Sun, Wenwu Zhu, Shiqiang Yang, Hongzhi Li, Dapeng Wu
2013 IEEE transactions on multimedia  
In this paper, we design a joint social-content recommendation framework to suggest users which videos to import or re-share in the online social network.  ...  Online social network is emerging as a promising alternative for users to directly access video contents.  ...  In this paper, we explore how information from the online social network and online video sharing network can be used jointly to improve recommendation performance. III.  ... 
doi:10.1109/tmm.2012.2237022 fatcat:pmk2ebjik5gytlfxoh6q4dtqxi

Systems Applications of Social Networks

Changtao Zhong, Nishanth Sastry
2017 ACM Computing Surveys  
Using this framework, we survey applications of social networks in three typical kinds of application scenarios: recommender systems, content-sharing systems (e.g., P2P or video streaming), and systems  ...  , using the social network around the source as a context, and generic user selection or group delimitation, which lters for a set of users who satisfy a set of application requirements based on their  ...  NetTube [Cheng and Liu 2009 ] is a such system, which explores the clustering in social networks for short video sharing.  ... 
doi:10.1145/3092742 fatcat:hcfudmor4feonjlalyma2l6owy

Video recommendation over multiple information sources

Xiaojian Zhao, Jin Yuan, Meng Wang, Guangda Li, Richang Hong, Zhoujun Li, Tat-Seng Chua
2012 Multimedia Systems  
In particular, one novel source user's relationship strength is inferred through the online social network and applied to recommend videos.  ...  Second, based on multiple ranking lists, a multi-task rank aggregation approach is proposed to integrate these ranking lists to generate a final result for video recommendation.  ...  In this work, we investigate to explore social network for video recommendation. Our approach is as follows: given a user, we denote V i as the video set that has been viewed by his/her i-th friend.  ... 
doi:10.1007/s00530-012-0267-z fatcat:vu2jxkwobjcshf3evbf4pxwxle

The Online Social Networks Analysis: State of the Art

Asmae El Kassiri, Fatima-Zahra Belouadha
2020 International Journal of Soft Computing  
Nowadays, the Online Social Networks OSN emergence has expanded the scope of these needs.  ...  This information richness has been exploited in the literature in particular social mining techniques to answer new analytical purposes such as influence analysis, trust analysis, opinion mining, recommendation  ...  Two recommendation approaches classes: based-contents recommendation and based-collaborative filtering recommendation (Ricci et al., 2011) .  ... 
doi:10.36478/ijscomp.2019.33.43 fatcat:p6q7qmtjpvcztf74klmgoydtea

Social- and content-aware prediction for video content delivery

Yuqi Fan, Bing Yang, Donghui Hu, Xiaohui Yuan, Xiong Xu
2020 IEEE Access  
In this paper, we deal with the problem of predicting whether a video will be watched by a user for efficient video content delivery in mobile social networks.  ...  An ever-increasing number of videos in mobile social networks increase the waiting time of video downloading.  ...  A social recommendation method based on social interaction, trust relationship and product popularity was proposed to predict user preferences and recommend related products in social networks [2] .  ... 
doi:10.1109/access.2020.2972920 fatcat:c5encnemrrbt5lwkmyuzlqhdz4

Interpersonal Trust within Social Media Applications: A Conceptual Literature Review [chapter]

Kevin Koidl, Kristina Kapanova
2022 The Psychology of Trust [Working Title]  
Interpersonal trust within social media applications is a highly discussed topic.  ...  Based on this review modalities of interpersonal trust are identified and presented.  ...  Acknowledgements This work is supported by the ADAPT Centre for Digital Content Technology, which is funded under the Science Foundation Ireland Research Centres Programme (Grant 13/RC/2106) and is co-funded  ... 
doi:10.5772/intechopen.103931 fatcat:iydbggvx6fhrnb2rhac4ehyeee

Systematic Evaluation of Social Recommendation Systems: Challenges and Future

Priyanka Rastogi, Dr. Vijendra
2016 International Journal of Advanced Computer Science and Applications  
This paper discusses reasons for evolution of recommender systems leading to transition from traditional to social information based recommendations.  ...  Social Recommender System (SRS) exploits social contextual information in the form of social links of users, social tags, user-generated data that contain huge supplemental information about items or services  ...  ., comments, post, tags, photos, videos) in social network too started being used for the purpose of recommendation [11] .  ... 
doi:10.14569/ijacsa.2016.070420 fatcat:wwvyumdr5ffohiphirbb3ycuoa

A Brief Literature Survey on: Online Product Purchasing on User Behavior

Monika Pal
2017 International Journal of Computer Applications  
Several researchers have investigated exploring social networks and trust in particular.  ...  RESEARCH OBJECTIVE In this work we propose a trust based recommendation system by incorporating the idea of social networking.  ... 
doi:10.5120/ijca2017915266 fatcat:m3s264f37fajlbe4oipkg4hg4i

Introduction to the topical issue on semantic social networks and media applications

Ioannis Anagnostopoulos, Manolis Wallace, Sherali Zeadally
2017 Social Network Analysis and Mining  
The inevitable shift to newer video standards is the subject of discussion in ''On Planning the Adoption of New Video Standards in Social Media Networks: A General Framework and its Application to HEVC  ...  The experiments reported in ''Social Network Profiling For Cultural Heritage: Combining Data from Direct and Indirect Approaches'' by Antoniou indicate that by monitoring online user activity, such as  ... 
doi:10.1007/s13278-017-0471-0 fatcat:xm7aqg4srzallpx3zdhm64bdpq

The state-of-the-art in personalized recommender systems for social networking

Xujuan Zhou, Yue Xu, Yuefeng Li, Audun Josang, Clive Cox
2011 Artificial Intelligence Review  
The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing  ...  With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood  ...  Trust-based Social Recommender Systems There has been a lot of work that deals with trust in social networks and recommender systems. A vast literature on trust has grown in these area of research.  ... 
doi:10.1007/s10462-011-9222-1 fatcat:izlxjykkq5dltdwdlituvunw5m
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