本文關(guān)鍵詞： 智能導(dǎo)購(gòu) Web數(shù)據(jù)挖掘 推薦算法　出處：《電子科技大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來,隨著電子商務(wù)及Web服務(wù)的發(fā)展,目前利用電子網(wǎng)站的人數(shù)不斷的擴(kuò)大,銷售、購(gòu)物以及電子交易的行為都在網(wǎng)上變成了現(xiàn)實(shí)。而電子商務(wù)的發(fā)展也加大了消費(fèi)者購(gòu)得滿意商品的難度,對(duì)商品信息有效的掌握也是很不容易實(shí)現(xiàn)的。對(duì)于消費(fèi)者而言,購(gòu)物過程就需要消費(fèi)者對(duì)于各類商品通過瀏覽器進(jìn)行繁瑣的信息獲取過程,同時(shí),選擇出最稱心的商品,然后完成了電子交易。該交易在時(shí)間成本是非常大的,而收集信息的過程中,而通常瀏覽時(shí)會(huì)有出現(xiàn)很多的無關(guān)信息,這對(duì)消費(fèi)者產(chǎn)生了消極購(gòu)物心態(tài)。本文主要的對(duì)象為消費(fèi)者常購(gòu)產(chǎn)品,基于此開發(fā)以web為基礎(chǔ)的導(dǎo)購(gòu)系統(tǒng),其中主要用的Web數(shù)據(jù)挖掘技術(shù)包括應(yīng)用web實(shí)現(xiàn)的挖掘以及商品關(guān)聯(lián)的規(guī)則等。同時(shí),網(wǎng)絡(luò)購(gòu)物系統(tǒng)還綜合的利用Java技術(shù)、MVC模式以及J2EE平臺(tái)。本文所做的主要工作有:(1)詳細(xì)說明導(dǎo)購(gòu)系統(tǒng),對(duì)職能的導(dǎo)購(gòu)系統(tǒng)的現(xiàn)狀以及漏洞進(jìn)行分析,確定了研究工作的范圍;(2)為了解決現(xiàn)有網(wǎng)上商店不統(tǒng)一的問題,為消費(fèi)者提供一個(gè)統(tǒng)一的購(gòu)物平臺(tái),本文設(shè)計(jì)了一種基于Web數(shù)據(jù)挖掘的智能導(dǎo)購(gòu)系統(tǒng)。通過該系統(tǒng)用戶可以搜尋到各個(gè)商家的商品信息,然后進(jìn)行對(duì)比購(gòu)買。(3)針對(duì)現(xiàn)有的智能導(dǎo)購(gòu)系統(tǒng)智能在系統(tǒng)推薦時(shí)實(shí)時(shí)性與推薦質(zhì)量之間的平衡問題,采用兩階段推薦框架,設(shè)計(jì)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(chǔ)上,采用Java技術(shù)、J2EE平臺(tái)和MVC模式,基于Web數(shù)據(jù)挖掘技術(shù),就網(wǎng)上購(gòu)物系統(tǒng)而言,進(jìn)一步的研究其可行性、系統(tǒng)設(shè)計(jì)技術(shù)和需求以及實(shí)現(xiàn)方法,設(shè)計(jì)與開發(fā)了一個(gè)網(wǎng)上購(gòu)物系統(tǒng),并將其應(yīng)用于網(wǎng)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(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP393.09;TP311.13

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