{"title":"推荐系统的应用","authors":"Yifei Zhao, Hang Gao, Yisheng Lv, Gang Xiong","doi":"10.1109/SOLI.2014.6960727","DOIUrl":null,"url":null,"abstract":"This paper focuses on the application of recommendation systems through the perspective of best matching between users and items. After reviewing the traditional recommendation systems and their application areas, this paper then extends recommendation systems to some other areas which may need recommendation systems to solve some key problems. Not only the application areas are extended, but also we try to sublimate recommendation systems from a simple method to a universal methodology.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"154 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The appliaction of recommendation systems\",\"authors\":\"Yifei Zhao, Hang Gao, Yisheng Lv, Gang Xiong\",\"doi\":\"10.1109/SOLI.2014.6960727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the application of recommendation systems through the perspective of best matching between users and items. After reviewing the traditional recommendation systems and their application areas, this paper then extends recommendation systems to some other areas which may need recommendation systems to solve some key problems. Not only the application areas are extended, but also we try to sublimate recommendation systems from a simple method to a universal methodology.\",\"PeriodicalId\":191638,\"journal\":{\"name\":\"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"volume\":\"154 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOLI.2014.6960727\",\"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 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOLI.2014.6960727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper focuses on the application of recommendation systems through the perspective of best matching between users and items. After reviewing the traditional recommendation systems and their application areas, this paper then extends recommendation systems to some other areas which may need recommendation systems to solve some key problems. Not only the application areas are extended, but also we try to sublimate recommendation systems from a simple method to a universal methodology.