{"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/deep-content-user-embedding-model-for-music","title":"Deep Content-User Embedding Model for Music Recommendation","arxiv_id":"1807.06786","date":"2018-07-18","proceeding":null,"authors":["Jongpil Lee","Kyungyun Lee","Jiyoung Park","Jang-Yeon Park","Juhan Nam"],"abstract":"Recently deep learning based recommendation systems have been actively\nexplored to solve the cold-start problem using a hybrid approach. However, the\nmajority of previous studies proposed a hybrid model where collaborative\nfiltering and content-based filtering modules are independently trained. The\nend-to-end approach that takes different modality data as input and jointly\ntrains the model can provide better optimization but it has not been fully\nexplored yet. In this work, we propose deep content-user embedding model, a\nsimple and intuitive architecture that combines the user-item interaction and\nmusic audio content. We evaluate the model on music recommendation and music\nauto-tagging tasks. The results show that the proposed model significantly\noutperforms the previous work. We also discuss various directions to improve\nthe proposed model further.","url_abs":"http://arxiv.org/abs/1807.06786v1","url_pdf":"http://arxiv.org/pdf/1807.06786v1.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":"deep-content-user-embedding-model-for-music","repo_url":"https://github.com/estebandito22/DeepContentRecommenders","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"deep-content-user-embedding-model-for-music","repo_url":"https://github.com/jongpillee/deep-content-user","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"collaborative-filtering","task_name":"Collaborative Filtering"},{"task_slug":"music-auto-tagging","task_name":"Music Auto-Tagging"},{"task_slug":"music-recommendation","task_name":"Music Recommendation"},{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.06786","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}