EasyRec简介¶
What is EasyRec?¶
EasyRec is an easy to use framework for Recommendation¶
EasyRec implements state of the art machine learning models used in common recommedation 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¶
MaxCompute / DataScience / DLC / Local
TF1.12-1.15 / TF2.x / PAI-TF
Diversified input data¶
MaxCompute Table
HDFS 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
In development: NAS, Knowledge Distillation, 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¶
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
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