Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
4-2015
Abstract
Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.
Keywords
General user profiling, Multi-roles affiliation model, Social networks
Discipline
Databases and Information Systems | Social Media
Publication
Database Systems for Advanced Applications: DASFAA 2015 International Workshops, SeCoP, BDMS, Hanoi, Vietnam, April 20-23, revised selected papers
Volume
9052
First Page
227
Last Page
233
ISBN
9783319223230
Identifier
10.1007/978-3-319-22324-7_20
Publisher
Springer
City or Country
Cham
Citation
LIAO, Lizi; HUANG, Heyan; and WANG, Yashen.
Multi-roles affiliation model for general user profiling. (2015). Database Systems for Advanced Applications: DASFAA 2015 International Workshops, SeCoP, BDMS, Hanoi, Vietnam, April 20-23, revised selected papers. 9052, 227-233.
Available at: https://ink.library.smu.edu.sg/sis_research/4385
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-319-22324-7_20