{"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/meta-prod2vec-product-embeddings-using-side","title":"Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation","arxiv_id":"1607.07326","date":"2016-07-25","proceeding":null,"authors":["Flavian Vasile","Elena Smirnova","Alexis Conneau"],"abstract":"We propose Meta-Prod2vec, a novel method to compute item similarities for\nrecommendation that leverages existing item metadata. Such scenarios are\nfrequently encountered in applications such as content recommendation, ad\ntargeting and web search. Our method leverages past user interactions with\nitems and their attributes to compute low-dimensional embeddings of items.\nSpecifically, the item metadata is in- jected into the model as side\ninformation to regularize the item embeddings. We show that the new item\nrepresenta- tions lead to better performance on recommendation tasks on an open\nmusic dataset.","url_abs":"http://arxiv.org/abs/1607.07326v1","url_pdf":"http://arxiv.org/pdf/1607.07326v1.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":"meta-prod2vec-product-embeddings-using-side","repo_url":"https://github.com/YIZHE12/music_recom","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"meta-prod2vec-product-embeddings-using-side","repo_url":"https://github.com/YIZHE12/music_recommend","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1607.07326","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}