Full-stack ML recommendation pipeline

Scenario

Deploy AIRec as the managed recommendation engine while deploying custom ranking or embedding models on Alibaba Cloud Linux instances for inference, combining them into an end-to-end intelligent recommendation system.

How the products combine

1. airec · airec-deploy-service — AIRec — Deploy AIRec service

See airec/airec-deploy-service.

2. alinux · alinux-deploy-model — Alibaba Cloud Linux — Deploy AI models for inference or training

See alinux/alinux-deploy-model.

Typical questions

• deploy recommendation system with custom models
• AIRec with custom model serving
• build recommendation pipeline
• deploy ML models and recommendation service
• 部署推荐系统
• 部署推荐服务和自定义模型
• AIRec配合自定义模型
• 模型推理和推荐引擎一起部署

Q: How do I deploy a recommendation system that combines a managed engine with custom machine learning models? A: You can deploy this pipeline by combining AIRec as the managed recommendation engine with custom ranking or embedding models hosted on Alibaba Cloud Linux instances. This cross-product setup creates an end-to-end intelligent recommendation system that supports both model inference and training.