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Design And Implementation Of Books Sales And Recommendation System Based On SSH Framework

Posted on:2019-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:X B LeiFull Text:PDF
GTID:2428330551460307Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Nowadays,the Internet has gone deep into people's lives.People can learn more about the Internet.Before people just browsed and consulted what they wanted on the Internet,now people can use the platform of the Internet to realize such business activities as commodity trading.The Internet has provided a more convenient platform for e-commerce;the economic development at home and abroad has also promoted the birth of e-commerce;the drawbacks of traditional transaction activities have facilitated the development of ecommerce and made e-commerce rapidly at home and abroad.It is also essential that sales websites rely on e-commerce.The sales website provides consumers with a visual interface.Consumers can intuitively and quickly find the products they want and complete the transaction with simple operations.However,with the era of big data,the frequent result of transaction activities has caused a large amount of useless information to appear before consumers,making consumers at a loss.This useless information is likely to affect the consumer's choice of goods,for which the recommended technology came into being.Personalized product recommendation for users has become an important component of ecommerce.Personalized product recommendation will propose different solutions for different user interests and user behaviors.This greatly helps users to select and purchase goods,and sales websites will also be better developed.therefore,This paper designs and implements a book sales and recommendation system based on SSH framework for the most representative book sales problem in e-commerce.The details are as follows:This article begins with a brief introduction of the research background at home and abroad and the general direction needed for the system.In recent years,e-commerce has been rapidly revitalizing on the Internet.People are no longer limited to buying what they need in physical stores,and they begin to trade on the Internet or on some mobile devices.At the same time,various behaviors such as browsing,purchasing,and evaluation of the user influence the impression of the online store on the customer and analyze the customer's desire through these actions.In the introduction,it mainly introduces the background knowledge of the system;for example,the development of e-commerce,the sales system,and the main content of the recommendation system.In the introduction,these macro contents are mainly introduced.Afterwards,the technical contents,system structure and system implementation of this system will be separately elaborated.In order for the developed system to meet the requirements of the user,we need to conduct a detailed analysis of the requirements of the system,and a detailed analysis of the system structure to ensure the integrity of the system.The software system designed in this paper is mainly divided into front-end user operation functions and background administrator functions.The front-end functions are mainly the system main interface,user login registration function,shopping cart function,order function,website forum function,user recommendation TOP function,and users recommended for the service.Rating function.There are also some minor features,such as: book search,calendar display date.The background functions are to modify the administrator password function,user information management function,library management function,book category management function,order management function,and website forum management function.After a brief analysis of the functions of the system,the detailed design of each function is given in the detailed design of the system,and the database tables involved in the design are uniformly designed.The data structure of the system can be visually recognized.The link between data and data.At the same time,the most important is the design and implementation of the recommended algorithm.This paper studies the modelbased recommendation algorithm LFM in detail and applies it to this system.In order to make system development easier and easier to extend,system development uses the mainstream and mature SSH framework for development.The SSH framework encapsulates the front-end development,middle logic layer,and back-end database layers of traditional Java Web applications,making development easier and reducing the burden on programmers.The basic language of the SSH framework is a mature object-oriented Java development language;the development of Java Web applications must be a server.The system server of this article uses a Tomcat server that is suitable for students and small and medium-sized enterprises;at the same time,the data storage is also Indispensable to database support,the database uses an open source,lightweight MySQL database.
Keywords/Search Tags:SSH framework, Book sales, LFM algorithm, Java, E-commerce, Recommendation algorithm
PDF Full Text Request
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