Jul 17, 2024 · Artificial Intelligence

Ads Recommendation in a Collapsed and Entangled World: Tencent's Innovations in Feature Encoding, Dimensional Collapse Mitigation, and Interest Disentanglement

This article summarizes Tencent Advertising's recent research on recommendation models, covering comprehensive feature encoding techniques, solutions to embedding dimensional collapse through multi‑embedding paradigms, and novel methods such as STEM and AME to disentangle conflicting user interests across multiple tasks.

AdvertisingEmbeddingdimensional collapse

0 likes · 20 min read

Ads Recommendation in a Collapsed and Entangled World: Tencent's Innovations in Feature Encoding, Dimensional Collapse Mitigation, and Interest Disentanglement

Alibaba Cloud Developer

Mar 3, 2017 · Artificial Intelligence

How DNN Breaks Feature Scaling Limits in Search Ranking

This article examines the challenges of high‑dimensional sparse features in search ranking, explains why traditional linear models struggle, and describes how deep neural networks with novel encoding schemes and online updates can dramatically improve CTR prediction and real‑time performance.

CTR predictionDNNDeep Learning

0 likes · 12 min read