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HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
Liliang Ye (Huazhong University of Science and Technology, Wuhan, China), Yunyao Zhang (Huazhong University of Science and Technology, Wuhan, China), Yafeng Wu (Huazhong University of Science and Technology, Wuhan, China), Yi-Ping Phoebe Chen (La Trobe University, Melbourne, Australia), Junqing Yu (Huazhong University of Science and Technology, Wuhan, China), Wei Yang (Huazhong University of S…

HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
Social media popularity prediction plays a crucial role in content optimization, marketing strategies, and user engagement enhancement across digital platforms. However, predicting post popularity remains challenging due to the complex interplay between visual, textual, temporal, and user behavioral factors. This paper presents HyperFusion, a hierarchical multimodal ensemble learning framework for social media popularity prediction. Our approach employs a three-tier fusion architecture that pro…