Item selection by "hub-authority" profit ranking

Item selection by "hub-authority" profit ranking
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DOI:
10.1145/775047.775144
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发表时间:
2002-07
期刊:
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
影响因子:
--
通讯作者:
Ke Wang;Ming Su
Ke Wang;Ming Su
中科院分区:
其他
文献类型:
--
作者:
Ke Wang;Ming Su

文献摘要

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在商业和其他应用程序中的一个基本问题是根据历史交易的利润概念对项目进行排名。困难在于,一个项目的利润不仅来自于它本身的销售,还来自于它对其他项目销售的影响,即,“交叉销售效应”。在本文中,我们得出了一个类比之间的相互加强的枢纽/权威网页的影响。基于这一类比,我们提出了一种新的项目排序方法,并应用该方法解决了两个选择问题。在大小受约束的选择中,可以选择的最大项目数是固定的。在成本约束选择中,没有最大数量的项目被选择,但有一些成本与每个项目的选择相关联。在这两种情况下,问题是应该选择哪些项目来最大化利润。经验上,我们表明,这种方法发现有利可图的项目存在交叉销售效应。
A fundamental problem in business and other applications is ranking items with respect to some notion of profit based on historical transactions. The difficulty is that the profit of one item not only comes from its own sales, but also from its influence on the sales of other items, i.e., the "cross-selling effect". In this paper, we draw an analogy between this influence and the mutual reinforcement of hub/authority web pages. Based on this analogy, we present a novel approach to the item ranking problem.We apply this ranking approach to solve two selection problems. In size-constrained selection, the maximum number of items that can be selected is fixed. In cost-constrained selection, there is no maximum number of items to be selected, but there is some cost associated with the selection of each item. In both cases, the question is what items should be selected to maximize the profit. Empirically, we show that this method finds profitable items in the presence of cross-selling effect.