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Top Architect
Top Architect
Feb 24, 2022 · Artificial Intelligence

Evolution of the DaJia Recommendation System Architecture: From V1.0 to V3.0

The article details how DaJia's recommendation system progressed through three architectural versions—V1.0's simple strategy‑factory design, V2.0's vertical business split and configurable pipeline, and V3.0's dynamic configuration service and modular pipeline—addressing scalability, fault isolation, and personalization challenges while outlining future directions for explainable AI recommendations.

AIPipelineSystem Architecture
0 likes · 14 min read
Evolution of the DaJia Recommendation System Architecture: From V1.0 to V3.0
IT Architects Alliance
IT Architects Alliance
Feb 15, 2022 · Artificial Intelligence

How a Scalable Recommendation Engine Evolved: From V1.0 to V3.0

This article details the evolution of an e‑commerce recommendation system through three architectural versions, highlighting the initial simple design, the challenges that prompted vertical and horizontal splits, the introduction of a configurable pipeline and AB testing, and the final micro‑service‑based, dynamically configurable V3.0 architecture.

AIBig DataPipeline
0 likes · 14 min read
How a Scalable Recommendation Engine Evolved: From V1.0 to V3.0
IT Architects Alliance
IT Architects Alliance
Feb 4, 2022 · Backend Development

How Our Recommendation Engine Evolved from V1.0 to V3.0

This article details the three‑stage evolution of an e‑commerce recommendation framework—V1.0’s simple strategy‑factory design, V2.0’s vertical business split, and V3.0’s configurable pipeline with dynamic server‑client configuration, addressing scalability, isolation, and AB‑testing challenges.

AB testingPipelineRedis
0 likes · 14 min read
How Our Recommendation Engine Evolved from V1.0 to V3.0
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jan 28, 2022 · Backend Development

How We Evolved Our Recommendation Engine: From V1.0 to V3.0 Architecture

This article details the evolution of the "到家" recommendation system across three major versions, describing the initial strategy‑factory prototype, the problems it faced, the vertical and horizontal splits introduced in V2.0, the dynamic pipeline configuration and service separation in V3.0, and the future outlook for finer‑grained personalization.

Pipelineconfiguration servicemicroservices
0 likes · 13 min read
How We Evolved Our Recommendation Engine: From V1.0 to V3.0 Architecture