| Summary: | 碩士 === 雲林科技大學 === 資訊管理系碩士班 === 98 === The business market compared to the consumer market has the characteristics of smaller number of customers with huge amount of transaction money. Consequently, it is important for suppliers to implement the concept of relationship marketing, to offer their customers valuable customized services through effective customer segmentation and personalized recommendation systems. At the same time, to make most of their limited resources.
In this study, customer lifetime value (CLV) is evaluated in terms of RFM variables. The K-means algorithm then is applied to segment customers by their CLVs. Further, the concept of product taxonomy is applied to associate rule mining and Collaborative Filter to enhance their effectiveness. Research results will provide business markets helpful guidance regarding build and maintain beneficial long-term mutual relationships with their valuable customers.
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