VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results
This addresses the problem of predicting user engagement for short videos on social media platforms, but it is incremental as it builds on existing challenge frameworks and datasets.
The paper describes the VQualA 2025 Challenge on Engagement Prediction for Short Videos, which tackled the problem of modeling popularity for user-generated short videos on social media, resulting in 97 participants and 15 valid submissions that advanced prediction methods.
This paper presents an overview of the VQualA 2025 Challenge on Engagement Prediction for Short Videos, held in conjunction with ICCV 2025. The challenge focuses on understanding and modeling the popularity of user-generated content (UGC) short videos on social media platforms. To support this goal, the challenge uses a new short-form UGC dataset featuring engagement metrics derived from real-world user interactions. This objective of the Challenge is to promote robust modeling strategies that capture the complex factors influencing user engagement. Participants explored a variety of multi-modal features, including visual content, audio, and metadata provided by creators. The challenge attracted 97 participants and received 15 valid test submissions, contributing significantly to progress in short-form UGC video engagement prediction.