基于汽车产业链协同SaaS平台的购车推荐系统及技术研究

发布时间：2018-06-02 06:14

本文选题：推荐系统 + SaaS　；参考：《西南交通大学》2015年硕士论文

【摘要】：随着信息技术的飞速发展以及SaaS(软件即服务,software as service)模式的越发成熟,越来越多的中小型企业加入到信息化的大军中。汽车产业链协同SaaS平台为中小型汽车制造业提供第三方的信息服务平台,提升企业的信息化程度,提供了信息化的可靠保证。汽车产业链协同SaaS平台上注册企业超过了8000家,平台运营商为企业间的业务提供了方便,但平台方仅仅为租户提供B2B的业务信息化是远远不够的。针对于汽车产业链协同SaaS平台上租户日益增长的业务需求以及平台自身的发展,本文在对原有平台功能与数据研究的基础上,提出了建立基于汽车产业链协同SaaS平台的购车推荐系统,为实现系统的功能,本文主要研究包括了以下几个方面。(1)论文先对汽车产业链协同SaaS平台由B2B模式向B2C模式发展的必要性与可行性进行分析,提出了建立基于平台的购车推荐系统的需求。(2)对基于汽车产业链协同SaaS平台的购车推荐系统的参与用户所需功能进行了分析,针对每一类用户提出了系统的功能。对实现系统的关键性技术：个性化推荐以及系统信息集成技术进行了分析,确定了系统关键技术的解决方案。(3)为了实现系统数据与平台数据的集成交互,本文使用了数据库服务器的触发器与作业相结合的策略。该策略同时针对了系统向平台的数据交互以及平台向系统进行的数据集成。(4)为实现对消费者的个性化推荐,本文分析了当下比较流行了推荐技术,选取了基于聚类的协同过滤方法,并对该方法进行了实现。(5)最后,论文通过采用三层架构的B/S模式,实现了基于汽车产业链协同SaaS平台的购车推荐系统的主要业务功能模块,并对上述问题的实现进行了详细说明。在论文最后进行了论文工作和后续的改进方向的总结。
[Abstract]:With the rapid development of information technology and the maturity of SaaS (software as service) model, more and more small and medium-sized enterprises join the army of information technology. The collaborative SaaS platform of automobile industry chain provides the third party information service platform for the small and medium-sized automobile manufacturing industry, promotes the informationization degree of the enterprise, and provides the reliable guarantee of the informationization. There are more than 8000 registered enterprises in the automobile industry chain cooperative SaaS platform. The platform operators provide convenience for the business between enterprises, but it is far from enough for the platform only to provide B2B business informatization for the tenants. In view of the increasing business demand of tenants and the development of the platform itself on the collaborative SaaS platform of automobile industry chain, this paper studies the function and data of the original platform. In order to realize the function of the system, a car purchase recommendation system based on collaborative SaaS platform of automobile industry chain is proposed. This paper mainly includes the following aspects. 1) the necessity and feasibility of the development of collaborative SaaS platform from B2B model to B2C mode are analyzed in this paper. The requirement of establishing a platform-based car purchase recommendation system is put forward. The functions of the participating users of the vehicle purchase recommendation system based on the collaborative SaaS platform of the automobile industry chain are analyzed, and the functions of the system are proposed for each class of users. The key technology to realize the system: personalized recommendation and system information integration technology are analyzed, and the solution of the key technology of the system is determined. In order to realize the integration and interaction between the system data and the platform data, This article uses the database server trigger and the job union strategy. This strategy also aims at the data interaction from the system to the platform and the data integration from the platform to the system. In order to realize the personalized recommendation to consumers, this paper analyzes the popular recommendation technology. This paper selects the collaborative filtering method based on clustering, and implements the method. Finally, the paper realizes the main business function module of the car purchase recommendation system based on the collaborative SaaS platform of automobile industry chain by adopting the three-tier structure of B / S mode. The realization of the above problems is explained in detail. At the end of the paper, the author summarizes the work of the paper and the direction of improvement in the future.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52;TP391.3

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