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Implementation And Design Of Collaborative Filtering Recommendation Ordering System Based On Android

Posted on:2021-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:S Y HuangFull Text:PDF
GTID:2428330647954439Subject:Computer technology
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With the rapid development of science and technology,the advent of the Internet era is gradually changing people's traditional lifestyle and affecting people's clothing,food,housing and transportation.At present,the domestic catering industry is developing rapidly,and at the same time,competition is becoming increasingly fierce.It is an inevitable trend for the development of the catering industry to improve service levels and service efficiency through network technology to meet the needs of humanized services and further improve competitiveness.The development and application of the ordering system is becoming more and more widely in China,of which the ordering system on the Android platform is the most extensive,and the ordering efficiency has been effectively improved.However,the existing ordering systems often depends the communication skills of servers people,and produce some wrong food recommendation,and also has slow ordering efficiency.So there are some recommendation system combine with ordering system in restaurants.The most using recommendation method is collaborative filtering recommendation,it cannot used in ordering system directly.So we modify the method,take the rating time factor into the method,and proposed our modified collaborative filtering recommendation.In this context,through system requirements analysis,system design,and using the Java development language and My SQL database,using Android as a development platform,design and implement an Android-based ordering system.The research of the whole subject will be divided into four important stages: The first stage,detailed analysis of the system requirements to determine the system requirements.The second stage: design the system from the three major blocks of system architecture,functional modules and database.The third stage: introduce the system operating environment and the design and implementation of the main functional modules of the system.Finally,summarize and prospect the research of this topic.
Keywords/Search Tags:collaborative filtering recommendation, ordering system, intelligent terminal
PDF Full Text Request
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