Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation

Guoming Li, Shangyu Zhang, Junwei Pan +7

Scaling recommendation models is a central challenge in recommender systems. Recently, RankMixer has emerged as an effective solution, operating on a unified token representation a…