{"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/paddlerec","title":"PaddleRec","arxiv_id":null,"date":"2021-11-19","proceeding":"WSDM 2021 11","authors":["Wenhui Zhang","Zhihua Wu","Haofeng Yin"],"abstract":"A quick start tool of search & recommendation algorithm based on PaddlePaddle  \r\nA complete solution of recommendation system for beginners, developers and researchers.  \r\nRecommendation algorithm library including content-understanding, match, recall, rank, multi-task, re-rank etc.","url_abs":"https://github.com/PaddlePaddle/PaddleRec","url_pdf":"https://github.com/PaddlePaddle/PaddleRec","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":"paddlerec","repo_url":"https://github.com/PaddlePaddle/PaddleRec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":null}],"tasks":[{"task_slug":"click-through-rate-prediction","task_name":"Click-Through Rate Prediction"},{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"}],"methods":[],"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}