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資料挖掘應用於入口網站之顧客關係管理—以國內某網站為例 / Application of Data Mining Techniques to Portal Site's Customer Relationship Management: A Case Study of Taiwan's Portal Site

處在變化快速的網路環境中,入口網站如何建立起專屬的會員制度,以期行銷人員能在大量的會員資料庫中找出有用的資訊,掌握會員的網路行為模式、實現個人化之服務、有效區隔市場及瞭解不同會員之網路行為模式等,進而以制定適當之行銷策略而達成結合實體行銷之目標。而資料挖掘的技術能在資料量龐大的會員交易資料庫中,利用會員的基本資料與交易資料衍生建立相關的評估指標,以評估會員的特質、需求模型、消費特徵、建立市場區隔的行銷策略等,行銷人員藉此可採用不同的宣傳方式與促銷策略,以達最佳的獲利結果。
本研究以國內某入口網站真實之會員基本資料及入口網站之商品:BBS頻道與財經頻道的資料檔,做為會員網路行為模式之資料分析的基礎。本研究利用資料挖掘的技術,找出入口網站的會員與商品之分群特徵,並發掘會員在兩頻道間的網路行為的關聯規則。另一方面,本研究利用關聯規則演算法,考量實際在發掘關聯規則分析所碰到的問題,實作出一套操作流程式較為簡便的關聯規則分析程式。本研究提供不同的關聯規則分析角度,以考量會員購買商品項目組合的關聯規則,進而支援決策者制定相關商品的促銷決策,以提高銷售量。 / In the rapid-changing network environment, how do Portal Sites establish exclusive membership mechanism in order to filter useful information out of their own database, master the network behavior models of their members, realize personalized services, and effectively segment and understand different network behavior models of all members? However, data mining can use the basic members' information and transaction data to produce the associated evaluation indicator during the high volume transaction database in order to evaluate the customers’ traits, demand models, consuming characteristics, and establish the marketing strategy of segmenting target market. As a result, we can adopt different advertising types and promotion strategies to achieve the best profitable goals.
The research is based on the real data of members and the merchandise of some website in Taiwan. (i.e. using data files of BBS channel and financial channel as the fundamental analysis data of network behavior models). Per using the data mining techniques, we can not only find out the characteristics of the members of portal sites and the clustering of merchandises, but unearth the association rules of network behavior of the two kinds of channels. On the other hand, this research, according to the association-ruled calculation method, is considering the practical problems when excavating association-ruled analysis methodology and producing a much simpler association-ruled analysis program. By providing the list of best buyers, the association-ruled analysis program will consider the association rule of members’ buying component and for further step, support the decision-maker to institute the related promotion strategy in order to raise the sales volume.

Identiferoai:union.ndltd.org:CHENGCHI/A2002001610
Creators柯淑貞, Ko, Shu-Chen
Publisher國立政治大學
Source SetsNational Chengchi University Libraries
Language中文
Detected LanguageEnglish
Typetext
RightsCopyright © nccu library on behalf of the copyright holders

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