Design And Implementation Of Book Marketing System Based On Influence Maximization

With the emergence of Dangdang,Taobao,Jingdong,Netease Koala,Amazon and other websites,online book marketing systems have been developed in China for more than 10 years.Online book marketing systems have gradually become a popular way for modern people to buy books.Compared with offline purchase,the advantages of online book marketing system are more convenient and faster.According to the actual situation of the market,the current online book sales systems on the market lack a deep combination of social and marketing,resulting in poor book marketing results.The book marketing system based on impact maximization is designed and implemented an online social book marketing system by combining a relatively novel impact maximization algorithm.The book marketing system includes two parts: user function module and administrator function module.The user function module is aimed at consumers.The main functions include book browsing,purchase,collection,and recommendation,as well as community functions.For example,users add book friends.The recommendation function is implemented through a collaborative filtering algorithm.Its principle That is,based on the browsing history,collection history,and purchase history information of different users,the books that the user may prefer are calculated,and then related recommendations are made.The book's marketing function is based on the influence maximization algorithm.In this paper,a new super user selection strategy is proposed.The administrator releases marketing books,gives the number of super users,the system selects a given number of super users,and adopts incentive Rewards make super users actively participate in marketing.Compared with system marketing,users trust marketing from book friends more.The system administrator manages and analyzes the data of the system users in the background system,including marketing management,order management,user management,comment management,and so on.The system implements active marketing and personalized recommendation functions among book friends.Each functional module of the system has passed the function test and performance test,and the system has reached the expected development standard.