Social Media Popularity Prediction
Social Media Popularity Prediction (SMPP) aims to predict the future popularity (e.g., clicks, views, likes, etc.) of online posts automatically via plenty of social media data from public platforms. It is a crucial problem for social media learning and forecasting and one of the most challenging problems in the field. With the ever-changing user interests and public attention on social media platforms, how to predict popularity accurately becomes more challenging than before. This task is valuable to content providers, marketers, or consumers in a range of real-world applications, including multimedia advertising, recommendation system, or trend analysis.
Papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Jiangeng | SRC | 0.7 | — | Unverified |
| 2 | ecnu_aida | SRC | 0.7 | — | Unverified |
| 3 | eva00 | SRC | 0.69 | — | Unverified |
| 4 | DMFirstTry | SRC | 0.69 | — | Unverified |
| 5 | USTC CrossModal Robot | SRC | 0.67 | — | Unverified |
| 6 | UESTC IntelliGame Lab | SRC | 0.65 | — | Unverified |
| 7 | USTC CrossModal SeniorG | SRC | 0.64 | — | Unverified |
| 8 | acvlab_ncku | SRC | 0.64 | — | Unverified |
| 9 | Debut | SRC | 0.64 | — | Unverified |
| 10 | chizhu | SRC | 0.64 | — | Unverified |