Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

Tingjia Shen, Hao Wang, Chuhan Wu +7

Scaling Laws have emerged as a powerful framework for understanding how model performance evolves as they increase in size, providing valuable insights for optimizing computational…