基于web数据挖掘的智能导购系统设计与实现

发布时间：2018-02-16 02:09

本文关键词： 智能导购 Web数据挖掘推荐算法　出处：《电子科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：近年来,随着电子商务及Web服务的发展,目前利用电子网站的人数不断的扩大,销售、购物以及电子交易的行为都在网上变成了现实。而电子商务的发展也加大了消费者购得满意商品的难度,对商品信息有效的掌握也是很不容易实现的。对于消费者而言,购物过程就需要消费者对于各类商品通过浏览器进行繁琐的信息获取过程,同时,选择出最称心的商品,然后完成了电子交易。该交易在时间成本是非常大的,而收集信息的过程中,而通常浏览时会有出现很多的无关信息,这对消费者产生了消极购物心态。本文主要的对象为消费者常购产品,基于此开发以web为基础的导购系统,其中主要用的Web数据挖掘技术包括应用web实现的挖掘以及商品关联的规则等。同时,网络购物系统还综合的利用Java技术、MVC模式以及J2EE平台。本文所做的主要工作有:(1)详细说明导购系统,对职能的导购系统的现状以及漏洞进行分析,确定了研究工作的范围;(2)为了解决现有网上商店不统一的问题,为消费者提供一个统一的购物平台,本文设计了一种基于Web数据挖掘的智能导购系统。通过该系统用户可以搜寻到各个商家的商品信息,然后进行对比购买。(3)针对现有的智能导购系统智能在系统推荐时实时性与推荐质量之间的平衡问题,采用两阶段推荐框架,设计了离线模块和在线模块两阶段分离处理,有效的解决了不平衡问题。(4)在理论研究的基础上,采用Java技术、J2EE平台和MVC模式,基于Web数据挖掘技术,就网上购物系统而言,进一步的研究其可行性、系统设计技术和需求以及实现方法,设计与开发了一个网上购物系统,并将其应用于网上图书的销售。
[Abstract]:In recent years, with the development of electronic commerce and Web services, the number of people using electronic websites is expanding and selling. The behavior of shopping and electronic trading has become a reality on the Internet. And the development of electronic commerce has also made it more difficult for consumers to buy satisfied goods, and it is also very difficult to effectively grasp the information of commodities. For consumers, The shopping process requires the consumer to carry out a tedious process of obtaining information about all kinds of goods through the browser, and at the same time, to select the most desirable goods, and then complete the electronic transaction. The transaction is very expensive in time. However, in the process of collecting information, there will be a lot of irrelevant information when browsing, which has a negative shopping mentality for consumers. The main object of this paper is the frequent purchase of products by consumers. Based on this, a purchasing guidance system based on web is developed. The Web data mining technology used mainly includes the mining of the application of web and the rules of commodity association, etc. At the same time, The network shopping system also synthetically uses Java technology to make use of MVC pattern and J2EE platform. The main work done in this paper is to explain the purchasing guide system in detail, and analyze the current situation and the loopholes of the functional purchase guide system. In order to solve the problem of the disunity of existing online stores, it provides a unified shopping platform for consumers. In this paper, an intelligent shopping guide system based on Web data mining is designed. Then contrasting purchasing. 3) aiming at the problem of balance between real time and recommendation quality of the existing intelligent purchasing guide system, two stage recommendation frame is adopted, and two stages separate processing of offline module and online module are designed. On the basis of theoretical research, Java technology is adopted to develop J2EE platform and MVC model, and based on Web data mining technology, the feasibility of online shopping system is further studied. The system design technology, requirement and realization method, design and develop an online shopping system, and apply it to the online book sales.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP393.09;TP311.13

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