{"title":"基于概率模型的移动设备情境服务推荐系统","authors":"Weng Wen, Huai-kou Miao","doi":"10.1109/ES.2016.29","DOIUrl":null,"url":null,"abstract":"As wireless communication and mobile devicesadvances, recommendation system is one of the keytechnologies to realize personalized service. This paperproposes a service recommendation mechanism using aprobabilistic model in mobile devices. With the contextualinformation and the use's demand state inferred by the model, we can recommend a service to meet the user's preferencesand needs at real time. Finally, the model checking method is used to verify the reliability of the service composition recommended by the above method.","PeriodicalId":184435,"journal":{"name":"2016 4th International Conference on Enterprise Systems (ES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Context-Based Service Recommendation System Using Probability Model in Mobile Devices\",\"authors\":\"Weng Wen, Huai-kou Miao\",\"doi\":\"10.1109/ES.2016.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As wireless communication and mobile devicesadvances, recommendation system is one of the keytechnologies to realize personalized service. This paperproposes a service recommendation mechanism using aprobabilistic model in mobile devices. With the contextualinformation and the use's demand state inferred by the model, we can recommend a service to meet the user's preferencesand needs at real time. Finally, the model checking method is used to verify the reliability of the service composition recommended by the above method.\",\"PeriodicalId\":184435,\"journal\":{\"name\":\"2016 4th International Conference on Enterprise Systems (ES)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th International Conference on Enterprise Systems (ES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ES.2016.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Conference on Enterprise Systems (ES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ES.2016.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Context-Based Service Recommendation System Using Probability Model in Mobile Devices
As wireless communication and mobile devicesadvances, recommendation system is one of the keytechnologies to realize personalized service. This paperproposes a service recommendation mechanism using aprobabilistic model in mobile devices. With the contextualinformation and the use's demand state inferred by the model, we can recommend a service to meet the user's preferencesand needs at real time. Finally, the model checking method is used to verify the reliability of the service composition recommended by the above method.