SOTAVerified

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

Showing 17 of 7 papers

TitleStatusHype
Improving Social Media Popularity Prediction with Multiple Post Dependencies0
SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge0
Time Matters: Multi-scale Temporalization of Social Media Popularity0
Sequential Prediction of Social Media Popularity with Deep Temporal Context NetworksCode0
Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Prediction ModelsCode0
Ranking news feed updates on social media: A comparative study of supervised modelsCode0
Contrastive Learning for Implicit Social Factors in Social Media Popularity PredictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1JiangengSRC0.7Unverified
2ecnu_aidaSRC0.7Unverified
3eva00SRC0.69Unverified
4DMFirstTrySRC0.69Unverified
5USTC CrossModal RobotSRC0.67Unverified
6UESTC IntelliGame LabSRC0.65Unverified
7USTC CrossModal SeniorGSRC0.64Unverified
8acvlab_nckuSRC0.64Unverified
9DebutSRC0.64Unverified
10chizhuSRC0.64Unverified