Adaptive Masked Twins-based Layer for Efficient Embedding Dimension Selection in Deep Recommendation Models

AMTL inserts an adaptively‑learned twin‑network mask after each representation layer to prune unnecessary embedding dimensions per feature value, automatically assigning larger sizes to high‑frequency features, achieving higher CTR accuracy, about 60% storage reduction, and seamless hot‑starting across recommendation models.

EmbeddingRecommendation Systemsadaptive masking

0 likes · 15 min read

Adaptive Masked Twins-based Layer for Efficient Embedding Dimension Selection in Deep Recommendation Models

Mafengwo Technology

May 9, 2019 · Mobile Development

How to Optimize iOS App Startup: Reduce Launch Time and Boost Retention

This article explains how the MaFengWo iOS app defined startup, measured key metrics such as launch duration and loss rate, and applied technical and user‑centered optimizations—including pre‑main and post‑main tweaks, fine‑grained interaction strategies, ad caching, and platform mechanisms—to cut launch time by half, lower loss rate by 30% and dramatically increase ad exposure.

APMMobile Developmentapp startup

0 likes · 22 min read

How to Optimize iOS App Startup: Reduce Launch Time and Boost Retention