{"title":"通过深度学习的高级推荐系统","authors":"Mohamed Khoali, Abdelhak Tali, Yassin Laaziz","doi":"10.1145/3386723.3387870","DOIUrl":null,"url":null,"abstract":"Many companies have realized the importance of deep learning, which justifies their growing interest in the use of recommender systems to boost their sales. They aim to predict users' intents and recommend products likely to be of their interests. The purpose of this study is to provide a review of deep learning techniques for recommendation systems that have been used in research and industry.","PeriodicalId":139072,"journal":{"name":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Advanced Recommendation Systems Through Deep Learning\",\"authors\":\"Mohamed Khoali, Abdelhak Tali, Yassin Laaziz\",\"doi\":\"10.1145/3386723.3387870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many companies have realized the importance of deep learning, which justifies their growing interest in the use of recommender systems to boost their sales. They aim to predict users' intents and recommend products likely to be of their interests. The purpose of this study is to provide a review of deep learning techniques for recommendation systems that have been used in research and industry.\",\"PeriodicalId\":139072,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Networking, Information Systems & Security\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Networking, Information Systems & Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3386723.3387870\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Networking, Information Systems & Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386723.3387870","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advanced Recommendation Systems Through Deep Learning
Many companies have realized the importance of deep learning, which justifies their growing interest in the use of recommender systems to boost their sales. They aim to predict users' intents and recommend products likely to be of their interests. The purpose of this study is to provide a review of deep learning techniques for recommendation systems that have been used in research and industry.