基于Web2.0的个性化服务系统在电子商务中的应用研究

发布时间：2019-04-21 19:51

【摘要】：随着信息技术的飞速发展,个性化的产品、个性化的服务逐渐成为电子商务的发展趋势之一。本文以文献推荐服务系统为实例,对个性化电子商务应用系统中用户建模中涉及到的技术进行了深入的研究；同时,使用知识发现技术进行了知识资源库的建立,最后提出了个性化电子商务文献推荐系统推荐服务模型。本文对电子商务个性化服务的研究所做的主要工作有以下三个部分：首先,对课题相关技术进行了较为详细的阐述；其次,通过对目前的各种互联网信息系统进行分析,抽象出一个个性化服务系统的粗略的体系结构；在此基础上,从用户建模、领域资源库建立以及用户推荐等方面进行了深入研究。最后,在研究了文献推荐过程中应遵循的原则的基础上,提出了一个电子商务文献推荐个性化服务系统模型。应用用户建模形式化表示方法：基于向量空间模型的表示法、用户bookmark法等多种方法+XML技术对用户信息的收集和用户访问行为进行了实现；利用知识发现技术实现了XML领域知识资源库；然后,在此基础上对个性化电子商务文献推荐系统个性化用户推荐部分进行了原型设计。本研究使用了J2EE+XML来完成个性化电子商务应用系统——个性化文献推荐服务系统的原型设计： (1)用户建模：在用户行为搜集和信息资源的结构化描述基础上,从多角度、结构层次方面对用户的兴趣进行建模。 (2)资源描述以及领域资源数据库的创建：针对领域建模,利用XML技术对个性化服务系统信息资源进行详细的结构化描述和基于XML的个性化信息资源数据库的建立。 (3)电子商务个性化服务基于用户兴趣推荐模型的完成：根据用户兴趣模型的不同描述,从而实现个性化服务系统高效、准确地向用户提供所需资源。本研究仅限于一个个性化服务系统原型系统的设计,后期的研究主要侧重于商业系统的重构设计与实现。
[Abstract]:With the rapid development of information technology, personalized products and personalized services have gradually become one of the development trends of e-commerce. Taking the document recommendation service system as an example, this paper makes a deep research on the technology involved in user modeling in personalized e-commerce application system. At the same time, knowledge discovery technology is used to establish the knowledge resource base. Finally, the recommendation service model of personalized e-commerce document recommendation system is put forward. The main work of this paper is as follows: firstly, the related technology of the project is expounded in detail; Secondly, the rough architecture of a personalized service system is abstracted through the analysis of various Internet information systems at present. On this basis, the user modeling, the establishment of domain resource base and user recommendation are deeply studied. Finally, on the basis of studying the principles that should be followed in the process of document recommendation, a personalized service system model for document recommendation in e-commerce is proposed. The formal representation method of user modeling: based on the representation of vector space model, user bookmark and other methods, XML technology is used to realize the collection of user information and the behavior of user access. The knowledge resource base of XML domain is realized by using knowledge discovery technology, and then the prototype of personalized user recommendation system of personalized e-commerce literature recommendation system is designed on the basis of this. This research uses J2EE XML to complete the prototype design of personalized e-commerce application system-personalized document recommendation service system: (1) user modeling: based on user behavior collection and structured description of information resources, The interest of the user is modeled from the aspect of multi-angle and structure level. (2) Resource description and the creation of domain resource database: aiming at domain modeling, the information resource of personalized service system is described in detail by using XML technology and the establishment of personalized information resource database based on XML. (3) the completion of personalized e-commerce service based on user interest recommendation model: according to the different description of user interest model, the personalized service system can provide users with the required resources efficiently and accurately. This research is limited to the design of a personalized service system prototype system, and the later research mainly focuses on the design and implementation of commercial system reconfiguration.
【学位授予单位】：中南林业科技大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TP311.52

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