On Predicting User Affiliations Using Social Features in Online Social Networks

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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Bibliographic Details
Main Author: NGUYEN, Minh Thap
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
Subjects:
classification
social networks
data mining
machine learning
Databases and Information Systems
Numerical Analysis and Scientific Computing
Social Media
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
Description
Summary: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.

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