Posts tagged: recommendation-systems
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OnePiece at Shopee: How LLM-style reasoning enters a ranking system
Notes on the OnePiece paper and how context engineering and reasoning are introduced into an industrial cascade ranking system.
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Microservice Architecture Patterns for Scalable ML Systems
Practical notes on how to break a Machine Learning system into smaller services to make it easier to deploy, monitor, and scale.
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Does TikTok use Kafka/Flink for real-time recommendation?
A fact-checking post: what public sources allow us to say and not say about Kafka/Flink in TikTok's recommendation.
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TikTok-style architecture: should be understood as a feed ranking pattern, not an internal diagram
A cautious post about TikTok-style architecture: using only public sources to derive product patterns, without asserting internal architecture.
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LightSAGE at Shopee: GNN for item retrieval in e-commerce ads
Analyzing the LightSAGE paper on how Shopee uses graph neural networks for item retrieval in recommendation ads.
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