| 書目名稱 | WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points |
| 副標(biāo)題 | Third International |
| 編輯 | Ron Kohavi,Brij M. Masand,Jaideep Srivastava |
| 視頻video | http://file.papertrans.cn/1021/1020055/1020055.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | WorkshopTheme The ease and speed with which business transactions can be carried out over the Web has been a key driving force in the rapid growth of electronic commerce. In addition, customer interactions, including personalized content, e-mail c- paigns, and online feedback provide new channels of communication that were not previously available or were very ine?cient. The Web presents a key driving force in the rapid growth of electronic c- merceandanewchannelforcontentproviders.Knowledgeaboutthecustomeris fundamental for the establishment of viable e-commerce solutions. Rich web logs provide companies with data about their customers and prospective customers, allowing micro-segmentation and personalized interactions. Customer acqui- tion costs in the hundreds of dollars per customer are common, justifying heavy emphasis on correct targeting. Once customers are acquired, customer retention becomes the target. Retention through customer satisfaction and loyalty can be greatly improved by acquiring and exploiting knowledge about these customers and their needs. Althoughweblogsarethesourceforvaluableknowledgepatterns,oneshould keep in mind that the Web is only one of the interactio |
| 出版日期 | Conference proceedings 2002 |
| 關(guān)鍵詞 | Association Rule Mining; Cisco; Cluster Analysis; Customer Management; Data Mining; E-Commerce; Internet D |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-45640-6 |
| isbn_softcover | 978-3-540-43969-1 |
| isbn_ebook | 978-3-540-45640-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2002 |
|Archiver|手機(jī)版|小黑屋|
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