Abstract
In this study, we concentrate on analyzing and building the dynamical user profiling to describe users’ multi-dimensional features and properties, in order to assist the individualized information seeking and recommendation process in social networking environments. A set of user attributes are introduced and defined to describe the basic user profiling in accordance with the analysis of information behaviors, and several centrality based measures are proposed and developed to describe the users’ importance and contributions with regards to a group of users based on their social connections in the DSUN (Dynamically Socialized User Networking) model. The experimental results are discussed to demonstrate the feasibility and effectiveness of our proposed methods.
| Original language | English |
|---|---|
| Pages (from-to) | 5015-5028 |
| Number of pages | 14 |
| Journal | Multimedia Tools and Applications |
| Volume | 74 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - 2015 Jul 1 |
Keywords
- Information behavior analysis
- Information seeking
- Social media
- Social network analysis
- User attribute description
- User profiling
ASJC Scopus subject areas
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications
- Software
Cite this
Multi-dimensional attributes and measures for dynamical user profiling in social networking environments. / Zhou, Xiaokang; Wang, Wei; Jin, Qun.
In: Multimedia Tools and Applications, Vol. 74, No. 14, 01.07.2015, p. 5015-5028.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multi-dimensional attributes and measures for dynamical user profiling in social networking environments
AU - Zhou, Xiaokang
AU - Wang, Wei
AU - Jin, Qun
PY - 2015/7/1
Y1 - 2015/7/1
N2 - In this study, we concentrate on analyzing and building the dynamical user profiling to describe users’ multi-dimensional features and properties, in order to assist the individualized information seeking and recommendation process in social networking environments. A set of user attributes are introduced and defined to describe the basic user profiling in accordance with the analysis of information behaviors, and several centrality based measures are proposed and developed to describe the users’ importance and contributions with regards to a group of users based on their social connections in the DSUN (Dynamically Socialized User Networking) model. The experimental results are discussed to demonstrate the feasibility and effectiveness of our proposed methods.
AB - In this study, we concentrate on analyzing and building the dynamical user profiling to describe users’ multi-dimensional features and properties, in order to assist the individualized information seeking and recommendation process in social networking environments. A set of user attributes are introduced and defined to describe the basic user profiling in accordance with the analysis of information behaviors, and several centrality based measures are proposed and developed to describe the users’ importance and contributions with regards to a group of users based on their social connections in the DSUN (Dynamically Socialized User Networking) model. The experimental results are discussed to demonstrate the feasibility and effectiveness of our proposed methods.
KW - Information behavior analysis
KW - Information seeking
KW - Social media
KW - Social network analysis
KW - User attribute description
KW - User profiling
UR - http://www.scopus.com/inward/record.url?scp=84933564517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84933564517&partnerID=8YFLogxK
U2 - 10.1007/s11042-014-2230-9
DO - 10.1007/s11042-014-2230-9
M3 - Article
AN - SCOPUS:84933564517
VL - 74
SP - 5015
EP - 5028
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
SN - 1380-7501
IS - 14
ER -