BigDL Friesian is an application framework for building optimized large-scale recommender solutions. The recommending workflows built on top of Friesian can seamlessly scale out to distributed big data clusters in the production environment.

Friesian provides end-to-end support for three typical stages in a modern recommendation system:

  • Offline stage: distributed feature engineering and model training.

  • Nearline stage: Feature and model updates.

  • Online stage: Recall and ranking.

Get Started

Documents in these sections helps you getting started quickly with Friesian.

Key Features Guide

Each guide in this section provides you with in-depth information, concepts and knowledges about Friesian key features.

Use Cases

Use Cases and Examples.

API Document

API Document provides detailed description of Nano APIs.