Ricardo Batista Rodrigues, F. Durão, V. Garcia, Carlo Marcelo Revoredo da Silva, Rafael Roque de Souza, R. Assad
{"title":"基于云的推荐模型","authors":"Ricardo Batista Rodrigues, F. Durão, V. Garcia, Carlo Marcelo Revoredo da Silva, Rafael Roque de Souza, R. Assad","doi":"10.1145/2590651.2590673","DOIUrl":null,"url":null,"abstract":"The recommendation systems aim to minimize information overload by helping user's in searching desired information. Faced with this scenario, we investigate the use of cloud factors able to have a positive influence on generating recommendations. Thus, we present a new, simple model based on cloud features which is associated with the content-based technique of recommendation. The practical applicability of data storage environments in the cloud provides the best use of cloud resources and meets user's preferences.","PeriodicalId":165011,"journal":{"name":"Euro American Conference on Telematics and Information Systems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A cloud-based recommendation model\",\"authors\":\"Ricardo Batista Rodrigues, F. Durão, V. Garcia, Carlo Marcelo Revoredo da Silva, Rafael Roque de Souza, R. Assad\",\"doi\":\"10.1145/2590651.2590673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recommendation systems aim to minimize information overload by helping user's in searching desired information. Faced with this scenario, we investigate the use of cloud factors able to have a positive influence on generating recommendations. Thus, we present a new, simple model based on cloud features which is associated with the content-based technique of recommendation. The practical applicability of data storage environments in the cloud provides the best use of cloud resources and meets user's preferences.\",\"PeriodicalId\":165011,\"journal\":{\"name\":\"Euro American Conference on Telematics and Information Systems\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Euro American Conference on Telematics and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2590651.2590673\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Euro American Conference on Telematics and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2590651.2590673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The recommendation systems aim to minimize information overload by helping user's in searching desired information. Faced with this scenario, we investigate the use of cloud factors able to have a positive influence on generating recommendations. Thus, we present a new, simple model based on cloud features which is associated with the content-based technique of recommendation. The practical applicability of data storage environments in the cloud provides the best use of cloud resources and meets user's preferences.
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