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Research On Purchase Car Recommendation System Base On Saas Platform Of Auto Industry Chain Collaboration

Posted on:2016-09-27Degree:MasterType:Thesis
Country:ChinaCandidate:K HuangFull Text:PDF
GTID:2308330461969490Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid development of information technology and SaaS(Software-as-a-Service) Pattern becomes mature, more and more small and medium enterprises join in the process of informatization.Automobile industry chain collaboration SaaS platform provide information service platform for small and medium-sized automobile industry.Enhance the information technology level of enterprise informatization, provide a reliasble guarantee. Collaborative SaaS platform has more than 8000 registered enterprises of Automobile industry chain, platform operator provide convernient for enterprise business, but only provide B2B service information is not enough.For the development of SaaS platform and tenants business needs, this thesis based on the original platform and data research, propose to establishment a car recommendation system base on SaaS platform of auto industry chain collaboration, in order to realize the function of system, this paper mainly studies the following aspects:(1) This thesis first analyses the necessity and feasibility of the auto industry chain collaboration platform transform from B2B mode to B2C mode, propose the demand to establish a a car recommendation system.(2) Analyses the users functions of this system, design functions for eachr kind of users. Analyse the key technologies to complete this system,such as personalized recommendation and data integration. Determines the solution of these key technologies.(3) In order to achieve the integration of data and data interaction system platform, thesis combines the trigger and server operation.This measure can solve system to the platform data exchange and data integration platform to the system at the same time.(4) In order to realize the personalized recommendation for consumers, this thesis analyses current popular recommendation technology, the collaborateve filtering algorithm based on clustering, and the method of realization.(5) Finally, the thesis uses three layer architecture of B/S mode to achieve the main functions of this system, realizate the above problems in detail. At the end of this thesis, summaries the work and improvement goals.
Keywords/Search Tags:Recommendation, SaaS, Data Integration, Collaboration Platform
PDF Full Text Request
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