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Social Link Prediction in Online Social Tagging Systems

Charalampos Chelmis, Viktor K. Prasanna
2013 ACM Transactions on Information Systems  
We show that latent user interests combined with social clues from the immediate neighborhood of users can significantly improve social link prediction in the online music social media site  ...  to sparse positive instances, which are the most vital in social tie prediction.  ...  dynamics in very large, online social tagging systems.  ... 
doi:10.1145/2516891 fatcat:mticr2ax4bdffp6hpt6ty632ri

Intelligent Link Prediction Management Based on Community Discovery and User Behavior Preference in Online Social Networks

Jun Ge, Lei-lei Shi, Lu Liu, Hongwei Shi, John Panneerselvam, Varun Menon
2021 Wireless Communications and Mobile Computing  
Link prediction in online social networks intends to predict users who are yet to establish their network of friends, with the motivation of offering friend recommendation based on the current network  ...  In this paper, we propose an intelligent data management mechanism based on relationship strength according to the characteristics of social networks for achieving a reliable prediction in online social  ...  Project in 2020 (S202015).  ... 
doi:10.1155/2021/3860083 fatcat:z7i5rvgjmvgdzem73z63pm4xo4

Survey on a Trust-Aware System for Personalized User Recommendations in Social Networks
IJARCCE - Computer and Communication Engineering

Supriya S, Saravanan D
2015 IJARCCE  
Trust is an important part in a social network from security point of view. Online video sharing systems is the most popular and provide features that allow users to post a video in a web page.  ...  These features provide opportunities for a user to introduce polluted content into the system.  ...  [5] Predicting Positive and Negative Links in Online Social Networks: the signs of links in the underlying social networks can be predicted with high accuracy, using models that generalize across this  ... 
doi:10.17148/ijarcce.2015.4365 fatcat:uvmu3k3z2nf6vjfboaoqfe3wje

Who Resemble You Better, Your Friends or Co-visited Users [chapter]

Jinjing Ma, Yan Zhang
2012 Lecture Notes in Computer Science  
People are alike their graphic neighbors in social networks, which is generally accepted as the basic assumption in interest prediction. But what kind of neighbors is a better information source?  ...  Since social networks usually keep "friends" and "visitors" as basic social roles, we take these two online social relationships as the main information source.  ...  And online stores like apply collaborative filtering systems to recommend products. In fact, there are two assumptions widely used in recommendation systems. Assumption 1.  ... 
doi:10.1007/978-3-642-29253-8_52 fatcat:2s24wlryxjdy5m444ymlm542ei

Recommendations Based on Social Links [chapter]

Danielle Lee, Peter Brusilovsky
2018 Lecture Notes in Computer Science  
Then, the in-depth understanding of existing recommendations based on users' social links will be addressed.  ...  The goal of this chapter is to give an overview of recent works on the development of social link-based recommender systems and to offer insights on related issues and the future direction.  ...  On some social media systems, we can even freely define and name different kinds of our online social links.  ... 
doi:10.1007/978-3-319-90092-6_11 fatcat:5nhd7rbgu5d3fc563mrhj2nnzi

Data Mining on Social Interaction Networks [article]

Martin Atzmueller
2014 arXiv   pre-print
Next, we present predictive data mining methods, i.e., for localization, recommendation and link prediction.  ...  This results in a dramatic increase of social data capturing various relations between the users and their associated artifacts, both in online networks and the real world using ubiquitous devices.  ...  The applied RFID tags allow the coupling of real world (offline) data, i. e., face-to-face contacts, with the online social world, e. g., given by online interactions within the system or in linked online  ... 
arXiv:1312.6675v2 fatcat:mgv3c47dzjg6vio3o4jbv3nqim

Is There Online Collective Identity within Social Bookmarking Systems?

Juan D. Borrero
2014 Journal of Socialomics  
Social tagging systems attract researchers in information systems and social sciences because they offer an enormous quantity of user-generated annotations that reveal the interest of millions of people  ...  The results discussed in the paper come from the analysis of a sample of a sample of 3,668 users, 2,148 URLs and 4,776 tags from the Delicious classification system on the subject of globalization of agriculture  ...  Literature Review Social tagging systems, online networks and socio-semantic networks Social tagging is a common feature of shared web content applications that enable users to share favourite Internet  ... 
doi:10.4172/2167-0358.1000110 fatcat:cq6pydm66zchzlqxr2wcndleqy

Systematic Evaluation of Social Recommendation Systems: Challenges and Future

Priyanka Rastogi, Dr. Vijendra
2016 International Journal of Advanced Computer Science and Applications  
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  ...  The issue of information overload could be effectively managed with the help of intelligent system which is capable of proactively supervising the users in accessing relevant or useful information in a  ...  model in Social Tagging Systems (STS).  ... 
doi:10.14569/ijacsa.2016.070420 fatcat:wwvyumdr5ffohiphirbb3ycuoa

Trust Aware System for Social Networks: A Comprehensive Survey

Manasa S., Manjula S., Venugopal K.
2017 International Journal of Computer Applications  
Hence to provide a trustworthy system and to enable real users activities a review on different methods to achieve trustworthy social networking systems are examined in this paper.  ...  Social networking enables users to send friend requests, upload photos and tag their friends and even suggest them the web links based on the interest of the users.  ...  A Coincident-Based model is used to tackle the spamming activities in social tagging system and a higher rank of bookmark shows geotag tagged correctly by the trusted users.  ... 
doi:10.5120/ijca2017913307 fatcat:2xc5xryfcfewhnf7hjg5jhqjaa

Toward Large-Scale Face Recognition Using Social Network Context

Zak Stone, Todd Zickler, Trevor Darrell
2010 Proceedings of the IEEE  
By drawing on photos embedded in the online social network Facebook, we assess the availability of labeled face data, and we build on our earlier study [2] to show how social network context can be leveraged  ...  Furthermore, even the preparation of training data (by manually labeling images, for example) to enroll people in an automatic recognition system becomes burdensome.  ...  Online communities induce social incentives to tag, and, as evidenced by the density of tags in Facebook and other online communities, these incentives can be quite strong.  ... 
doi:10.1109/jproc.2010.2044551 fatcat:npl7bpja25cxddteph3dku7du4

Friendship prediction and homophily in social media

Luca Maria Aiello, Alain Barrat, Rossano Schifanella, Ciro Cattuto, Benjamin Markines, Filippo Menczer
2012 ACM Transactions on the Web  
Here we study the presence of homophily in three systems that combine tagging of social media with online social networks.  ...  of social links.  ...  This work has been partly supported by the project Social Integration of Semantic Annotation Networks for Web Applications funded by National Science Foundation award IIS-0811994 and by the Italian Ministry  ... 
doi:10.1145/2180861.2180866 fatcat:436ww2r7mzdejdklddxocqmoca

Social interactions over geographic-aware multimedia systems

Roger Zimmermann, Yi Yu
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
Location-based social multimedia streams (e.g., tweets, videos, images) can provide us with socially complementary information to predict users' needs.  ...  Geotagged multimedia contents from online social sites, e.g., Flickr and Twitter, provide large volumes of data about many given locations.  ...  Acknowledgments The work presented was in part supported by the Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM  ... 
doi:10.1145/2502081.2502236 dblp:conf/mm/ZimmermannY13 fatcat:2df6ljo65rgwnaxbd65b56bgaa

Exploiting Social Ties for Search and Recommendation in Online Social Networks - Challenges and Chances

Kerstin Bischoff
2010 Workshop Grundlagen von Datenbanken  
Similarly, in tagging systems like Delicious or Flickr people share tagged resources with friends or unknown, similar users.  ...  Offline social networks have long been studied in sociology, epidemiology, etc.  ...  Here, a social network was constructed from cooccurring names in the WWW, for example, links on a home page or co-authorship.  ... 
dblp:conf/gvd/Bischoff10 fatcat:335rvtczzjd2diketp3ajml3si

Social Web Search [chapter]

Maryam Shoaran, Alex Thomo, Jens Weber
2014 Encyclopedia of Social Network Analysis and Mining  
Synonyms social navigation, social analysis, social content search, recommender systems Glossary Social Media: online systems with high public participation and interaction rate.  ...  , and link connections.  ...  This is especially important in knowledge-based social systems such as question/answering portals, online forums, and networks of email exchangers.  ... 
doi:10.1007/978-1-4614-6170-8_261 fatcat:45qgeu3gcrf6xl5jga2vs62oxu

Privacy study on images uploaded in social networks

Hemalatha D, Almas Begum, Alex David S
2018 International Journal of Engineering & Technology  
In this paper, a relational study about the privacy settings in Online Social structure is examined.  ...  Confidentiality is a leading factor required in Social Networks. The social users upload their photos to the social sites that intend to gain public interest for social purposes.  ...  USER BEHAVIOR IN ONLINE SOCIAL NETWORKS The perception towards user behavior in Online Social Networks imposes a better interface design for improved content distributed systems.  ... 
doi:10.14419/ijet.v7i1.7.10636 fatcat:grtpt5j7fjdvddghvz3sbpnr4a
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