Research on Predictive Models for Content Popularity on Social Media

Abstract

In today's era of widespread social media, predicting content popularity has become a hot topic. Social media is important because it affects the speed and scope of information dissemination. However, predictive models face challenges related to data sparsity, complex feature selection, model interpretability, real-time requirements, and computational resources. Optimization strategies are proposed, including enhancing data preprocessing, applying deep learning and transfer learning, introducing explainable AI technologies, and optimizing algorithms and resource utilization, with the aim of improving the accuracy and efficiency of predictive models.