Investigate adaptive preloading strategies

Background: The chunk-based preloading strategy in short-form video streaming depends on accurately predicting user viewing time and adapting to network conditions.

Question / Future Work: The research team plans to investigate adaptive preloading strategies as a component of their future work, building upon their findings regarding viewing time prediction stability and accuracy across different training sizes.

Why It Matters: Developing adaptive preloading strategies based on improved viewing time prediction is technically important as it directly addresses the core problem of minimizing data wastage while maintaining Quality of Experience (QoE) in short-form video delivery.

Evidence: In future work, we plan to explore more advanced forecasting models and adaptive preloading strategies to further improve system performance.