most citedModel Size Reduction Using Frequency Based Double Hashing for Recommender Systems

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cs.IR2025

Dimension Mask Layer: Optimizing Embedding Efficiency for Scalable ID-based Models

Srijan Saket, Ikuhiro Ihara, Vaibhav Sharma +1

In modern recommendation systems and social media platforms like Meta, TikTok, and Instagram, large-scale ID-based features often require embedding tables that consume significant…