P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models

Tingjia Shen, Hao Wang 0076, Chuhan Wu, Jin Yao Chin, Wei Guo 0006, Yong Liu 0020, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen. P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models. In Danielle Belgrave, Cheng Zhang 0005, Laura N. Montoya, Hsuan-Tien Lin, Razvan Pascanu, Piotr Koniusz, Marzyeh Ghassemi, Nancy Chen, Iván Vladimir Meza Ruíz, Arturo Loaiza-Bonilla, editors, Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diago, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025. 2025. [doi]

Abstract

Abstract is missing.