商业销售中的利润挖掘及商品选择算法

Profit Mining and Item Selection Algorithms in Commerce

XU Xiu-juan, JIA Li-feng, ZHOU Chun-guang, WANG Zhe, XU Xiao-ang

(College of Computer Science and Technology, Jilin University, Changchun 130012, China)

Received:2005-03-14 Revised:1900-01-01 Online:2006-03-26 Published:2006-03-26
Contact: ZHOU Chun-guang

Abstract

Abstract: ItemRank algorithm is presented to solve the problem of item selection with the consideration of crossselling effect. First a newdevised model-Customer Behavior Model is proposed. And then the novel algorith m ItemRank is implemented on the basis of Customer Behavior Model. SALSARank algorithm is based on the theory of Markov chain to simulate customer’s behavior. The experiments showed the advantage and effect about the algorithms.

Key words: profit mining, item selection algorithm, crossselling, association rule

CLC Number:

TP183

XU Xiu-juan, JIA Li-feng, ZHOU Chun-guang, WANG Zhe, XU Xiao-ang. Profit Mining and Item Selection Algorithms in Commerce[J].J4, 2006, 44(02): 201-206.

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Profit Mining and Item Selection Algorithms in Commerce

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