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- W3109572857 abstract "Product placement in retail has a significant impact on the sales revenue of retailers. Hence, research efforts are being made to improve retailer revenue using high-utility pattern mining based product placement approaches. However, none of these existing approaches has explored generalized high-utility itemset mining for determining product placement in retail. The knowledge of generalized high-utility itemsets extracted from user purchase transactional database in conjunction with a product taxonomy can provide new insights about customer purchase behaviour. This work proposes the generalized utility itemset (GUI) index for retrieving generalized high-utility (revenue) itemsets. We also present a framework, which leverages the GUI index towards retail product placement to improve revenue. Our performance study using real datasets shows the effectiveness of our proposed scheme w.r.t. two existing schemes." @default.
- W3109572857 created "2020-12-07" @default.
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- W3109572857 date "2020-10-01" @default.
- W3109572857 modified "2023-10-03" @default.
- W3109572857 title "Improving Product Placement in Retail with Generalized High-Utility Itemsets" @default.
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- W3109572857 doi "https://doi.org/10.1109/dsaa49011.2020.00018" @default.
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