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Android-based Smart Ordering System

Posted on:2018-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:N S TangFull Text:PDF
GTID:2348330542961933Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the development of the Internet,mobile growth is amazing,more and more people to bring their food package to the phone/tablet,on the application in the food industry,flat type of ordering system emerge.but research in food industry recommendation system remains relatively low,most of the ordering system is not recommended or recommended dish variety,can't really recommend to meet customer needs.Face the existence of these problems,this project will develop a fusion dish culture and intelligent recommendation in one of the ordering system,addressing public order needs,to satisfy everyone personalized ordering experience,but also for the catering company providing operational guidance.The system is aimed at practical problems,designed a smart ordering system base on Android system,The system will consist of three parts: the server-side,ordering Terminal,Terminal in the background.It mainly implements the following functions:1.Server-side functions to take back-order statistical analysis and processing of the information;2.Achieving food recommendation algorithm generates recommendations table ordering Terminal traversed recommended dishes recommended.Appreciation of culture dishes,ordering,generating orders;3.Terminal according to the priority of the dishes in the background,intelligent sort and display the ordering information.In the testing session,in order to prove that the research and development of personalized recommendation system will have a good effect,we will be in the same data set,conducted comparative tests of two algorithms.Recommended algorithm generates two tables comparing the form and after many experiments to produce,eventually will be able to achieve,the new dish recommendation algorithm based on correlation degree of precision than the prediction of results of incremental updating algorithm for Mining Association rules.Analysis and design of based on the above,the subject will be able to satisfy users are recommended to order requirements and restaurants for food,dish,operation and other aspects of management,there are great practical value in the real application.
Keywords/Search Tags:Restaurant Ordering System, Recommendation Systems, Android, MFC, MYSQL, Network Communications
PDF Full Text Request
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