{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/easyrec-an-easy-to-use-extendable-and","title":"EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems","arxiv_id":"2209.12766","date":"2022-09-26","proceeding":null,"authors":["Mengli Cheng","Yue Gao","Guoqiang Liu","Hongsheng Jin","Xiaowen Zhang"],"abstract":"We present EasyRec, an easy-to-use, extendable and efficient recommendation framework for building industrial recommendation systems. Our EasyRec framework is superior in the following aspects: first, EasyRec adopts a modular and pluggable design pattern to reduce the efforts to build custom models; second, EasyRec implements hyper-parameter optimization and feature selection algorithms to improve model performance automatically; third, EasyRec applies online learning to fast adapt to the ever-changing data distribution. The code is released: https://github.com/alibaba/EasyRec.","url_abs":"https://arxiv.org/abs/2209.12766v1","url_pdf":"https://arxiv.org/pdf/2209.12766v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"easyrec-an-easy-to-use-extendable-and","repo_url":"https://github.com/alibaba/easyrec","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"easyrec-an-easy-to-use-extendable-and","repo_url":"https://github.com/alibaba/TorchEasyRec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[{"method_slug":"fixcaps","method_name":"Capsule Network"},{"method_slug":"deepwalk","method_name":"DeepWalk"},{"method_slug":"feature-selection","method_name":"Feature Selection"},{"method_slug":"hpo","method_name":"HPO"},{"method_slug":"layer-normalization","method_name":"Layer Normalization"},{"method_slug":"linear-layer","method_name":"Linear Layer"},{"method_slug":"multi-head-attention","method_name":"Multi-Head Attention"},{"method_slug":"odl","method_name":"ODL"},{"method_slug":"transformer","method_name":"Transformer"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}