DataFunTalk
DataFunTalk
Dec 4, 2019 · Artificial Intelligence

Joint Optimization of Tree‑based Index and Deep Model (JTM) for Large‑Scale Recommendation

This article presents JTM, a joint optimization framework that simultaneously learns a tree‑based index and a deep scoring model to overcome the limitations of traditional recommendation pipelines, demonstrating significant recall improvements on Amazon Books and Alibaba UserBehavior datasets through hierarchical user interest modeling and efficient tree learning.

Recommendationdeep learningjoint optimization
0 likes · 19 min read
Joint Optimization of Tree‑based Index and Deep Model (JTM) for Large‑Scale Recommendation
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 10, 2019 · Artificial Intelligence

How Joint Optimization of Tree-Based Indexes Boosts Large-Scale Recommendation Accuracy

This article introduces JTM, a joint optimization framework that simultaneously learns deep scoring models and tree-structured indexes, addressing the limitations of traditional recommendation pipelines and demonstrating significant precision and recall gains on large-scale datasets such as Amazon Books and UserBehavior.

deep learningjoint optimizationlarge-scale retrieval
0 likes · 20 min read
How Joint Optimization of Tree-Based Indexes Boosts Large-Scale Recommendation Accuracy