Name
Abstract | ||
|---|---|---|
This paper proposes a novel social media relevance feedback algorithm, based on multimedia content power (MCP). The algorithm estimates in a recursive manner, the similarity measure. This is accomplished by using a set of relevant/irrelevant samples, which are provided by the user, in order to adjust the system's response. In particular, the similarity measure is expressed in a parametric form of ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSS.2017.2766250 | IEEE Transactions on Computational Social Systems |
Keywords | Field | DocType |
Radio frequency,Visualization,Social network services,Atmospheric measurements,Particle measurements,Multimedia communication,Estimation | Data mining,Parametric equation,Relevance feedback,Social media,Similarity measure,Computer science,Visualization,Atmospheric measurements,Multimedia,Recursion | Journal |
Volume | Issue | ISSN |
5 | 1 | 2329-924X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Klimis S. Ntalianis | 1 | 66 | 15.74 |
| Doulamis, Anastasios D. | 2 | 13 | 2.65 |
| Nicolas Tsapatsoulis | 3 | 295 | 46.57 |
| Nikos E. Mastorakis | 4 | 33 | 16.24 |