Name
Title | ||
|---|---|---|
Multi-dimensional attributes and measures for dynamical user profiling in social networking environments |
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s11042-014-2230-9 | Multimedia Tools and Applications |
Keywords | Field | DocType |
User attribute description,User profiling,Social network analysis,Information behavior analysis,Social media,Information seeking | Social network,Computer science,Profiling (computer programming),Human–computer interaction,User modeling,Artificial intelligence,World Wide Web,Multi dimensional,Social media,Pattern recognition,Information seeking,Social network analysis,Centrality | Journal |
Volume | Issue | ISSN |
74 | 14 | 1380-7501 |
Citations | PageRank | References |
10 | 0.52 | 29 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaokang Zhou | 1 | 225 | 25.50 |
| Wei Wang | 2 | 257 | 34.45 |
| Jin, Q. | 3 | 233 | 33.40 |