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A Decision Procedure for Bundle Purchasing with Incomplete Information on Future Prices

机译:不完整的期货价格信息的捆绑购买决策程序

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摘要

This paper introduces the on-line bundle-purchasing problem (OBPP) as a new computational challenge induced by e-commerce technology. The task of the OBPP is to decide which of many satisfactory combinations (bundles) of items should be purchased, from whom, and when, to maximize the buyer's overall satisfaction. Satisfaction, formalized as multiattribute utility, includes attitudes toward quality, reputation, and risk. The Prequote-Quote-Rescind (PQR) protocol communicates probabilistic and temporal information on the future prices and availabilities of items. A comparison set, defined as a set of bundles in which all items are available for a fixed interval and their prices are known, determines future intervals when purchase decisions will be fully informed. A decision procedure is provided that makes effective use of comparison sets and improves a buyer's expected utility compared with a naive decision procedure.
机译:本文介绍了在线捆绑购买问题(OBPP),它是由电子商务技术引起的一种新的计算挑战。 OBPP的任务是决定应购买许多令人满意的组合商品(组合),从谁以及何时购买,以最大程度地提高买方的整体满意度。满意度,正式化为多属性效用,包括对质量,声誉和风险的态度。 Prequote-Quote-Rescind(PQR)协议传达有关未来价格和商品可用性的概率和时间信息。比较集定义为一组捆绑包,在该捆绑包中,所有商品在固定的时间间隔内都可用,并且其价格已知,它确定了购买决定将被完全告知时的未来时间间隔。提供了一种决策程序,与单纯的决策程序相比,该决策程序可以有效地使用比较集并提高买方的预期效用。

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