{"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/use-of-deep-learning-in-modern-recommendation","title":"Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works","arxiv_id":"1712.07525","date":"2017-12-20","proceeding":null,"authors":["Ayush Singhal","Pradeep Sinha","Rakesh Pant"],"abstract":"With the exponential increase in the amount of digital information over the\ninternet, online shops, online music, video and image libraries, search engines\nand recommendation system have become the most convenient ways to find relevant\ninformation within a short time. In the recent times, deep learning's advances\nhave gained significant attention in the field of speech recognition, image\nprocessing and natural language processing. Meanwhile, several recent studies\nhave shown the utility of deep learning in the area of recommendation systems\nand information retrieval as well. In this short review, we cover the recent\nadvances made in the field of recommendation using various variants of deep\nlearning technology. We organize the review in three parts: Collaborative\nsystem, Content based system and Hybrid system. The review also discusses the\ncontribution of deep learning integrated recommendation systems into several\napplication domains. The review concludes by discussion of the impact of deep\nlearning in recommendation system in various domain and whether deep learning\nhas shown any significant improvement over the conventional systems for\nrecommendation. Finally, we also provide future directions of research which\nare possible based on the current state of use of deep learning in\nrecommendation systems.","url_abs":"http://arxiv.org/abs/1712.07525v1","url_pdf":"http://arxiv.org/pdf/1712.07525v1.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":"use-of-deep-learning-in-modern-recommendation","repo_url":"https://github.com/anuragreddygv323/Important-stuff","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"speech-recognition","task_name":"Speech Recognition"},{"task_slug":"speech-recognition-1","task_name":"speech-recognition"}],"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}