Publication Type
Master Thesis
Version
publishedVersion
Publication Date
3-2014
Abstract
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.
Keywords
classification, social networks, data mining, machine learning
Degree Awarded
MSc in Information Systems
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media
Supervisor(s)
Lim, Ee Peng
First Page
1
Last Page
64
Publisher
Singapore Management University
City or Country
Singapore
Citation
NGUYEN, Minh Thap.
On Predicting User Affiliations Using Social Features in Online Social Networks. (2014). 1-64.
Available at: https://ink.library.smu.edu.sg/etd_coll/122
Copyright Owner and License
Author
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons