{"title":"基于隐马尔可夫模型(HMM)的上下文感知服务智能业务预测","authors":"Chen Xia, Lu Tingjie","doi":"10.1109/WMWA.2009.50","DOIUrl":null,"url":null,"abstract":"Context-awareness services are important applications of mobile commerce, and how to predict demands of mobile customers so as to provide business information they need is a key point. This paper proposed a predicting model based on the hidden Markov model (HMM), which mines the latent information requirement concepts that the customer visiting path contains and to make business information predicting decisions. Simulation experimental results show that the scheme is effective.","PeriodicalId":375180,"journal":{"name":"2009 Second Pacific-Asia Conference on Web Mining and Web-based Application","volume":"324 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Intelligent Business Prediction in Context-awareness Services Based on Hidden Markov Model (HMM)\",\"authors\":\"Chen Xia, Lu Tingjie\",\"doi\":\"10.1109/WMWA.2009.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context-awareness services are important applications of mobile commerce, and how to predict demands of mobile customers so as to provide business information they need is a key point. This paper proposed a predicting model based on the hidden Markov model (HMM), which mines the latent information requirement concepts that the customer visiting path contains and to make business information predicting decisions. Simulation experimental results show that the scheme is effective.\",\"PeriodicalId\":375180,\"journal\":{\"name\":\"2009 Second Pacific-Asia Conference on Web Mining and Web-based Application\",\"volume\":\"324 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second Pacific-Asia Conference on Web Mining and Web-based Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WMWA.2009.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second Pacific-Asia Conference on Web Mining and Web-based Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WMWA.2009.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Business Prediction in Context-awareness Services Based on Hidden Markov Model (HMM)
Context-awareness services are important applications of mobile commerce, and how to predict demands of mobile customers so as to provide business information they need is a key point. This paper proposed a predicting model based on the hidden Markov model (HMM), which mines the latent information requirement concepts that the customer visiting path contains and to make business information predicting decisions. Simulation experimental results show that the scheme is effective.