基于Web挖掘的自適應(yīng)網(wǎng)站研究

頁數(shù) 43 字?jǐn)?shù) 25332

摘要:Web使用挖掘就是從服務(wù)器日志文件和客戶交易數(shù)據(jù)中挖掘有意義的用戶訪問模式和潛在的客戶群，使企業(yè)能夠提供個(gè)性化信息服務(wù)和開展有針對性的電子商務(wù)活動。隨著越來越多的業(yè)務(wù)在互聯(lián)網(wǎng)上開展，用戶使用Web的規(guī)律成了各企業(yè)共同關(guān)注的一大熱點(diǎn)。因此，采用Web挖掘智能地、自動地提取出有價(jià)值的知識，構(gòu)建自適應(yīng)網(wǎng)站，提高WWW的效率，具有十分重要的現(xiàn)實(shí)意義和廣闊的應(yīng)用前景。
基于國內(nèi)外最新研究成果，論述了Web使用挖掘的內(nèi)容、特點(diǎn)和挖掘過程。定義了自適應(yīng)網(wǎng)站，提出了基于Web挖掘?qū)崿F(xiàn)自適應(yīng)網(wǎng)站的一種方案:在已存在的站點(diǎn)上進(jìn)行用戶訪問模式挖掘，預(yù)測用戶感興趣的頁面，并以增加鏈接的方式把指向這些頁面的鏈接推薦給用戶，動態(tài)地改變網(wǎng)站結(jié)構(gòu)。給出了系統(tǒng)體系結(jié)構(gòu)，闡述了系統(tǒng)實(shí)現(xiàn)的目標(biāo)、設(shè)計(jì)所遵循的原則和源數(shù)據(jù)的收集等主要問題
描述了系統(tǒng)挖掘用戶訪問模式的過程和算法。提出了一種預(yù)處理功能模型，采用基于cookie技術(shù)和擴(kuò)充日志屬性的用戶識別方法，有效地識別通過同一代理服務(wù)器訪問網(wǎng)站的不同用戶。采用了一種擴(kuò)展性良好、高效多能的聚類分析算法對用戶訪問模式進(jìn)行挖掘，即直接對網(wǎng)站的拓?fù)浣Y(jié)構(gòu)和用戶瀏覽信息進(jìn)行處理的關(guān)聯(lián)矩陣方法，避免了復(fù)雜的會話識別和事務(wù)識別。
提出了自適應(yīng)網(wǎng)站進(jìn)行自動頁面調(diào)整的方法，根據(jù)挖掘推薦結(jié)果，通過在網(wǎng)頁中嵌入ASP代碼的方式，用程序?qū)崿F(xiàn)自動在頁面中增加動態(tài)鏈接，對不同用戶展現(xiàn)不同的網(wǎng)站視圖，并給出了源程序。對系統(tǒng)進(jìn)行了實(shí)際運(yùn)行測試，得到了可行性驗(yàn)證。

關(guān)鍵詞 :Web使用挖掘,電子商務(wù),自適應(yīng)

Abstract
It is important for the modern enterprises to have the ability of discovering useful user access pattern and corresponding potential customers from large volume of use access logs, so that they can provide personal information service and make
their electronic commerce strategies. With more and more business spread in Internet, enterprise consentrate on the principle of access pattern. It become practical significance and a vastitude foreground to abstract useful knowledge, construct adaptive web site,improve efficiency of WWW with web mining intellectively and automatically
Based on the latest researched results, this paper discuss the content , characteristics and processes of web usage mining. In this paper we define adaptive web sites, puts forward the scheme of it based on web usage mining .Mining the user access pattern on the exist web station, forecast web page interested by user, recommand them to user through adding hyperlink of them. so as to change the constrature of the web site. We expatiate such primary question as the goal , rules to design adaptive web site and collection of sourse of data for mining.
we describe the algorithm and processes of user access pattern , and presents a data preprocessing model. In the process of preprocessing,a user identification method based on cookie technology and extending Web Log attributes are adopted. the method can distinguish effectively the multiple users using the same one proxy server .
Key words web mining; electronic commerce; adaptive web sites
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