The Research Of E-commerce Personalized Information Recommendation Service Mode Based On Big-data

With the development and application of e-commerce, the research onpersonalized information recommendation service model under big data backgroundhas become a frontier issue. E-commerce websites not only provide products andservices, but also make users more difficult to find the product information, whichmeet their needs in mass of information quickly and accurately. Personalizedinformation recommendation based on big-data could recommend products orservices to users according to their preference actively and in real time. On the onehand, it can better meet the users’ individual needs. On the other hand, it could helpelectric website to establish a stable user groups, improve service quality, and therebyenhance market competitiveness.The study object of this article is personalized recommendation service model ofe-commerce based on big-data. Firstly, this paper introduces related theoretical basis,including concepts, features and primary technology. Secondly, this paper constructsa model for e-commerce personalized information recommendation influence factorsand then test and revise it according to the data of the questionnaire survey, which isdesigned based on factors that influence consumers to buy personalized commodity.At the same time, this paper constructs a personalized information recommendationservice model and proposes a model for e-commerce based on achievements ofscholars both abroad and at home and conclusion by questionnaire survey. Lastly, thispapercarried on case studies for personalized information recommendation servicemodel, through specific analysis of shopping website, to illustrate the feasibility andeffectiveness of this model.This paper proposes a specific personalized information recommendation servicemodel based on big-data, accelerating personalized and intelligent development of e-commerce information services. It has brought convenience and personalized serviceto users and huge economic benefits for e-commerce enterprise and has pulsivesignificance to personalized information service for e-commerce.