{"title":"Android-Based Order Recommender System","authors":"Zhenhai Mu, Zhongxuan Tan, Ge Zhu","doi":"10.1109/ICRIS.2018.00073","DOIUrl":null,"url":null,"abstract":"This system stores data via MySQL database, develops server-end background management system used by merchants via Eclipse, and utilizes Tomcat to establish the server to realize functions such as merchant login and registration, dish addition, dish modification and deletion, order management and deletion, and merchant information alteration. At the client end, Android Studio is used to plan UI elaborately, and realize functions such as user login and registration, restaurant browsing, dish browsing, shopping cart, user information change, and online ordering. Finally, Android-based order recommender system with the favorable interactive interface is realized, and able to work in good conditions","PeriodicalId":194515,"journal":{"name":"2018 International Conference on Robots & Intelligent System (ICRIS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Robots & Intelligent System (ICRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRIS.2018.00073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This system stores data via MySQL database, develops server-end background management system used by merchants via Eclipse, and utilizes Tomcat to establish the server to realize functions such as merchant login and registration, dish addition, dish modification and deletion, order management and deletion, and merchant information alteration. At the client end, Android Studio is used to plan UI elaborately, and realize functions such as user login and registration, restaurant browsing, dish browsing, shopping cart, user information change, and online ordering. Finally, Android-based order recommender system with the favorable interactive interface is realized, and able to work in good conditions