DataFunSummit
DataFunSummit
Jul 9, 2025 · Artificial Intelligence

How LAST Enables Real‑Time Learning for Re‑Ranking in E‑Commerce Recommendations

This article presents LAST, a novel Learning-at-Serving-Time approach that enables real‑time online learning for re‑ranking in industrial recommendation pipelines, eliminating feedback latency, detailing its architecture, challenges, experimental validation, and practical advantages over traditional online learning methods.

LAST algorithmRe‑rankingonline serving
0 likes · 12 min read
How LAST Enables Real‑Time Learning for Re‑Ranking in E‑Commerce Recommendations
NewBeeNLP
NewBeeNLP
Sep 9, 2024 · Artificial Intelligence

Can Real‑Time Learning at Serving Time Transform Recommendation Re‑ranking?

This article introduces LAST, a novel online learning approach that updates recommendation models instantly at serving time, addressing real‑time learning challenges, re‑ranking complexities, and demonstrating superior offline and online performance in industrial e‑commerce scenarios.

AILASTOnline Learning
0 likes · 12 min read
Can Real‑Time Learning at Serving Time Transform Recommendation Re‑ranking?
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 20, 2019 · Artificial Intelligence

How Taobao’s Search & Recommendation Algorithms Evolved: From Rules to Cognitive AI

This article reviews the evolution of Taobao’s search and recommendation technology, tracing its journey from simple statistical models and rule‑based systems through large‑scale machine learning and real‑time online learning to modern deep‑learning and cognitive intelligence approaches that drive e‑commerce innovation.

Search Algorithmscognitive AIdeep learning
0 likes · 16 min read
How Taobao’s Search & Recommendation Algorithms Evolved: From Rules to Cognitive AI