{"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/recommender-systems","title":"Recommender Systems","arxiv_id":"1202.1112","date":"2012-02-06","proceeding":null,"authors":["Linyuan Lü","Matus Medo","Chi Ho Yeung","Yi-Cheng Zhang","Zi-Ke Zhang","Tao Zhou"],"abstract":"The ongoing rapid expansion of the Internet greatly increases the necessity\nof effective recommender systems for filtering the abundant information.\nExtensive research for recommender systems is conducted by a broad range of\ncommunities including social and computer scientists, physicists, and\ninterdisciplinary researchers. Despite substantial theoretical and practical\nachievements, unification and comparison of different approaches are lacking,\nwhich impedes further advances. In this article, we review recent developments\nin recommender systems and discuss the major challenges. We compare and\nevaluate available algorithms and examine their roles in the future\ndevelopments. In addition to algorithms, physical aspects are described to\nillustrate macroscopic behavior of recommender systems. Potential impacts and\nfuture directions are discussed. We emphasize that recommendation has a great\nscientific depth and combines diverse research fields which makes it of\ninterests for physicists as well as interdisciplinary researchers.","url_abs":"http://arxiv.org/abs/1202.1112v1","url_pdf":"http://arxiv.org/pdf/1202.1112v1.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":"recommender-systems","repo_url":"https://github.com/shravanksingh/CS109a_Recommendation_System_Project_Group_4","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"}],"methods":[{"method_slug":"svd-parameterization","method_name":"SVD Parameterization"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}