本文關鍵詞： 智能導購 Web數據挖掘 推薦算法　出處：《電子科技大學》2015年碩士論文　論文類型：學位論文

【摘要】：近年來,隨著電子商務及Web服務的發(fā)展,目前利用電子網站的人數不斷的擴大,銷售、購物以及電子交易的行為都在網上變成了現(xiàn)實。而電子商務的發(fā)展也加大了消費者購得滿意商品的難度,對商品信息有效的掌握也是很不容易實現(xiàn)的。對于消費者而言,購物過程就需要消費者對于各類商品通過瀏覽器進行繁瑣的信息獲取過程,同時,選擇出最稱心的商品,然后完成了電子交易。該交易在時間成本是非常大的,而收集信息的過程中,而通常瀏覽時會有出現(xiàn)很多的無關信息,這對消費者產生了消極購物心態(tài)。本文主要的對象為消費者常購產品,基于此開發(fā)以web為基礎的導購系統(tǒng),其中主要用的Web數據挖掘技術包括應用web實現(xiàn)的挖掘以及商品關聯(lián)的規(guī)則等。同時,網絡購物系統(tǒng)還綜合的利用Java技術、MVC模式以及J2EE平臺。本文所做的主要工作有:(1)詳細說明導購系統(tǒng),對職能的導購系統(tǒng)的現(xiàn)狀以及漏洞進行分析,確定了研究工作的范圍;(2)為了解決現(xiàn)有網上商店不統(tǒng)一的問題,為消費者提供一個統(tǒng)一的購物平臺,本文設計了一種基于Web數據挖掘的智能導購系統(tǒng)。通過該系統(tǒng)用戶可以搜尋到各個商家的商品信息,然后進行對比購買。(3)針對現(xiàn)有的智能導購系統(tǒng)智能在系統(tǒng)推薦時實時性與推薦質量之間的平衡問題,采用兩階段推薦框架,設計了離線模塊和在線模塊兩階段分離處理,有效的解決了不平衡問題。(4)在理論研究的基礎上,采用Java技術、J2EE平臺和MVC模式,基于Web數據挖掘技術,就網上購物系統(tǒng)而言,進一步的研究其可行性、系統(tǒng)設計技術和需求以及實現(xiàn)方法,設計與開發(fā)了一個網上購物系統(tǒng),并將其應用于網上圖書的銷售。
[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.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP393.09;TP311.13

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本文編號：1514418