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Uncle Fei's Miscellany

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Latest from Uncle Fei's Miscellany

3 recent articles

Uncle Fei's Miscellany

Jul 6, 2026 · Artificial Intelligence

Continuously Understanding Every User: Deep Dive into User Profile Architecture and Lifecycle

This article explains why user profiles are essential for recommendation systems, details their static, long‑term, short‑term, and embedding components, describes the full lifecycle from cold start to interest drift and decay, and outlines engineering practices, storage strategies, pipeline design, sequence modeling and emerging LLM‑based profiling.

LLMRecommendation SystemsUser Profiling

0 likes · 37 min read

Uncle Fei's Miscellany

Jun 25, 2026 · Artificial Intelligence

How User Feedback Loops Enable Smarter Recommendation Systems

The article explains why a closed‑loop feedback system is essential for recommendation engines, describes the end‑to‑end architecture from client‑side event collection through gateways, message queues, preprocessing, data warehousing, and traceability, and details how the resulting signals drive user profiling, feature generation, sample creation and model training while addressing practical engineering challenges.

Model Trainingdata pipelineengineering challenges

0 likes · 47 min read

How User Feedback Loops Enable Smarter Recommendation Systems

Uncle Fei's Miscellany

Jun 18, 2026 · Artificial Intelligence

How Content Asset Architecture Powers Recommendation System Cognition

This article details the end‑to‑end engineering of a recommendation system's content asset pipeline—from content ingestion and storage in a Content Pool, through basic, behavior, and quality feature generation, to feature versioning, lifecycle management, and the engineering challenges of recognition accuracy, cold‑start, hotspot handling, deduplication, and multimodal understanding.

content pipelinecontent poolembedding

0 likes · 41 min read

How Content Asset Architecture Powers Recommendation System Cognition