large-scale recommendation — 2 Technical Articles

Oct 10, 2024 · Artificial Intelligence

Global User Modeling and Explicit Interest Transfer Framework for Meituan Home Page Recommendation

Meituan’s home‑page recommendation system adopts a multi‑stage global user‑modeling pipeline culminating in the EXIT framework, which explicitly transfers cross‑domain interests via interest‑combination labels and a scene‑selector network, thereby mitigating data sparsity and negative transfer and delivering significant offline and online performance gains.

Meituancross-domain recommendationglobal user modeling

0 likes · 34 min read

Global User Modeling and Explicit Interest Transfer Framework for Meituan Home Page Recommendation

Alibaba Cloud Developer

Mar 28, 2018 · Artificial Intelligence

How Tree‑Based Deep Match Revolutionizes Large‑Scale Recommendation Systems

This article introduces the Tree‑based Deep Match (TDM) framework, which uses a novel max‑heap tree structure to enable efficient, hierarchical retrieval over massive candidate sets, allowing any advanced deep learning model to improve matching accuracy, recall, and novelty in industrial recommendation systems.

deep learninglarge-scale recommendationmachine learning

0 likes · 27 min read

How Tree‑Based Deep Match Revolutionizes Large‑Scale Recommendation Systems