Name
Abstract | ||
|---|---|---|
Online social networks (OSNs) have become an essential part of people's daily life, and an increasing number of users are now using multiple OSNs for different social media services simultaneously. As a result, user's interests and preferences usually distribute in different OSNs. While most of the existing work mainly aggregates the distributed user behaviors or features directly, recently very f... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2018.2839530 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Twitter,YouTube,Collaboration,Data mining,Bridges,Semantics | Factorization method,Social network,Social media,Pattern recognition,Computer science,Association mining,Human–computer interaction,Artificial intelligence,User modeling,Cold start (automotive),Semantics | Journal |
Volume | Issue | ISSN |
20 | 12 | 1520-9210 |
Citations | PageRank | References |
2 | 0.40 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jitao Sang | 1 | 710 | 42.65 |
| Ming Yan | 2 | 99 | 8.39 |
| Changsheng Xu | 3 | 4957 | 332.87 |