SMP Challenge Summary: Social Media Prediction Challenge

Abstract

SMP Challenge is an annual challenge that seeks top research teams to develop innovative forecasting methods that can enhance social and business applications. We define and introduce the Social Media Popularity Prediction (SMPP) task that predicting the future popularity of a post made by a specific user at a given time on social media. This task is pivotal in various applications and scenarios, such as online advertising, social recommendations, post ranking, and demand forecasting, etc. To motivate diverse perspectives of social media prediction researches, we built a large-scale benchmark Social Media Prediction Dataset (SMPD) that includes approximately 500K posts, along with associated 756 tags, visual-language data, and spatial-temporal information, and sourced from around 70K users and their profiles. With participation and contribution from top teams worldwide, the challenge has seen continuous performance improvements in recent years, driven by technological advancements. For the latest information, leaderboard or online evaluation, please visit the SMP Challenge Homepage: www.smp-challenge.com.