Application Of Improved K-means Algorithm In E-commerce Recommendation System

With the continuous improvement of mobile Internet technology and mobile application software development technology,most smart phone users have higher requirements for mobile business functions,especially the function of using mobile phones for online shopping.With its rapid dissemination of commodity information and convenient shopping function,it is loved and used by the majority of users;Secondly,with the rapid development of Internet information technology and e-commerce,mankind has gradually entered the era of information overload.The "huge and bloated" e-commerce data makes it difficult for users to obtain effective data information in time.Therefore,this paper combines personalized recommendation technology with e-commerce technology to realize a more efficient e-commerce system;The main research work of e-commerce personalized recommendation system is as follows:(1)Aiming at the low efficiency of K-means algorithm when processing a large amount of data,this paper proposes to apply genetic algorithm to k-means algorithm,and complete the combination of K-means algorithm and genetic algorithm by coding genetic algorithm,population initialization,fitness function setting and other parameter settings,The performance of the algorithm is verified by programming in MATLAB7.0.It is concluded that the improved algorithm is better than the traditional K-means algorithm,so the traditional K-means algorithm is successfully improved and applied to the e-commerce recommendation data decision-making function module.(2)Demand analysis of e-commerce customer relationship management system: through functional demand analysis,it is determined that the system should meet five functional requirements: customer management requirements,sales management requirements,customer service management requirements,customer maintenance management requirements and system management requirements;Through the analysis of non functional requirements,it obtains the friendly interface,system architecture analysis,security,scalability and so on.The system function is designed and implemented.Based on the system requirements analysis,the system architecture and functional modules are designed and implemented.Through the database design,a complete system framework and content are constructed,which enriches the basic framework of e-commerce customer relationship management system.The designed system is tested.The function test is carried out for the five functional modules.Through the test,it is concluded that the system designed in this paper can basically meet the basic needs of customer relationship management system under e-commerce and improve the work efficiency of customer relationship management.31figures,23 tables,60references...