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Latest from Fei's Miscellaneous Talks

3 recent articles

Fei's Miscellaneous Talks

Jun 15, 2026 · Artificial Intelligence

Evolution of Recommendation System Architecture: From Hand‑Crafted Rules to the Large‑Model Era

This article traces the five‑generation evolution of recommendation algorithms—from manual rules, through LR and GBDT, to deep learning and large models—explaining each stage’s suitable scenarios, engineering upgrades, trade‑offs, and why practical architecture choices should prioritize business needs over chasing the newest technology.

Algorithm EvolutionDeep LearningGBDT

0 likes · 32 min read

Evolution of Recommendation System Architecture: From Hand‑Crafted Rules to the Large‑Model Era

Fei's Miscellaneous Talks

Jun 12, 2026 · Artificial Intelligence

Online Decision-Making vs. Offline Learning in Recommendation System Architecture

This article outlines the industrial‑grade offline architecture of a recommendation system, detailing how online services handle real‑time decisions while a comprehensive offline pipeline processes data, builds user profiles, extracts features, and trains models to continuously improve personalization.

Data EngineeringFeature PipelineModel Training

0 likes · 21 min read

Online Decision-Making vs. Offline Learning in Recommendation System Architecture

Fei's Miscellaneous Talks

Jun 2, 2026 · Industry Insights

Inside Industrial-Scale Recommendation Systems: From Millions of Items to a Few Real-Time Results

The article explains why a recommendation system is fundamentally an engineering platform first and an algorithm suite second, detailing its four-layer architecture, user and content modeling, multi-objective ranking, request lifecycle, and the key engineering challenges that affect scalability and real-time performance.

engineeringoffline-online collaborationreal-time processing

0 likes · 17 min read

Inside Industrial-Scale Recommendation Systems: From Millions of Items to a Few Real-Time Results