On Predicting User Affiliations Using Social Features in Online Social Networks

User profiling such as user affiliation prediction in online social network is a challenging task, with many important applications in targeted marketing and personalized recommendation. The research task here is to predict some user affiliation attributes that suggest user participation in differen...

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Main Author: NGUYEN, Minh Thap
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/etd_coll/122
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1114&context=etd_coll
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.etd_coll-11142017-04-12T09:05:58Z On Predicting User Affiliations Using Social Features in Online Social Networks NGUYEN, Minh Thap User profiling such as user affiliation prediction in online social network is a challenging task, with many important applications in targeted marketing and personalized recommendation. The research task here is to predict some user affiliation attributes that suggest user participation in different social groups. 2014-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/122 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1114&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University classification social networks data mining machine learning Databases and Information Systems Numerical Analysis and Scientific Computing Social Media
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic classification
social networks
data mining
machine learning
Databases and Information Systems
Numerical Analysis and Scientific Computing
Social Media
spellingShingle classification
social networks
data mining
machine learning
Databases and Information Systems
Numerical Analysis and Scientific Computing
Social Media
NGUYEN, Minh Thap
On Predicting User Affiliations Using Social Features in Online Social Networks
description User profiling such as user affiliation prediction in online social network is a challenging task, with many important applications in targeted marketing and personalized recommendation. The research task here is to predict some user affiliation attributes that suggest user participation in different social groups.
format text
author NGUYEN, Minh Thap
author_facet NGUYEN, Minh Thap
author_sort NGUYEN, Minh Thap
title On Predicting User Affiliations Using Social Features in Online Social Networks
title_short On Predicting User Affiliations Using Social Features in Online Social Networks
title_full On Predicting User Affiliations Using Social Features in Online Social Networks
title_fullStr On Predicting User Affiliations Using Social Features in Online Social Networks
title_full_unstemmed On Predicting User Affiliations Using Social Features in Online Social Networks
title_sort on predicting user affiliations using social features in online social networks
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/etd_coll/122
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1114&context=etd_coll
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