EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems

نویسندگان

چکیده

We present EasyRec, an easy-to-use, extendable and efficient recommendation framework for building industrial systems. Our EasyRec is superior in the following aspects:first, adopts a modular pluggable design pattern to reduce efforts build custom models; second, implements hyper-parameter optimization feature selection algorithms improve model performance automatically; third, applies online learning adapt ever-changing data distribution. The code released: https://github.com/alibaba/EasyRec.

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ژورنال

عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence

سال: 2023

ISSN: ['2159-5399', '2374-3468']

DOI: https://doi.org/10.1609/aaai.v37i13.27065