EasyRec Introduction

What is EasyRec?

EasyRec is an easy to use framework for Recommendation

EasyRec implements state of the art deep learning models used in common recommendation tasks: candidate generation(matching), scoring(ranking), and multi-task learning. It improves the efficiency of generating high performance models by simple configuration and hyper parameter tuning(HPO).

Why EasyRec?

Run everywhere

• Local / MaxCompute / EMR-DataScience / DLC
• TF1.12-1.15 / TF2.x / PAI-TF

Diversified input data

• MaxCompute Table
• HDFS files
• OSS files
• Kafka Streams
• Local CSV

Simple to config

• Flexible feature config and simple model config
• Efficient and robust feature generation[used in taobao]
• Nice web interface in development

It is smart

• EarlyStop / Best Checkpoint Saver
• Hyper Parameter Search / AutoFeatureCross / Knowledge Distillation / Features Selection
• In development: NAS / MultiModal

Large scale and easy deployment

• Support large scale embedding, incremental saving
• Many parallel strategies: ParameterServer, Mirrored, MultiWorker
• Easy deployment to EAS: automatic scaling, easy monitoring
• Consistency guarantee: train and serving

A variety of models

• DSSM / MIND / DropoutNet / CoMetricLearningI2I
• W&D / DeepFM / MultiTower / DCN / DIN / BST
• MMoE / ESMM / DBMTL / PLE
• CMBF / UNITER
• More models in development

Easy to customize

• Easy to implement customized models
• Not need to care about data pipelines

Fast vector retrieve

• Run knn algorithm of vectors in distribute environment

Get Started

Running Platform:

• Local
• MaxCompute
• EMR-DataScience
• PAI-DSW (DEMO)

Document

• Home
• FAQ
• EasyRec Framework(PPT)

Contribute

Any contributions you make are greatly appreciated!

• Please report bugs by submitting a GitHub issue.
• Please submit contributions using pull requests.
• please refer to the Development document for more details.

Contact

Join Us

• DingDing Group: 32260796. (EasyRec usage general discussion.)

• Email Group: [email protected].

Enterprise Service

• If you need EasyRec enterprise service support, or purchase cloud product services, you can contact us by DingDing Group.

License

EasyRec is released under Apache License 2.0. Please note that third-party libraries may not have the same license as EasyRec.