具有覆盖约束的多商品市场无嫉妒定价算法

Hirofumi Mizuno, Satoshi Takahashi
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摘要

近年来,随着个人电脑和智能手机的普及,通过互联网进行的广告投放市场不断扩大。大多数广告分发服务是根据用户属性和搜索词显示的列表广告。在物品分配与定价问题中,无嫉妒性是一个有趣的话题。无嫉妒的一个关键思想是,没有买家有动机将自己的物品及其支付对与另一个买家的物品及其支付对交换。众所周知,不存在嫉妒的收益最大化问题是一个np困难问题。本文研究了一类特殊的多项目无嫉妒分配问题。每个买家都有一个单位估值,一个预算和一个买家想要的首选项目集。
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An Envy-free Pricing Algorithm for Multi Item Market with Covering Constraints
In recent years, with the spread of personal computers and smartphones, the advertisement distribution market through the Internet is growing. Most of the advertisement distribution service is a listing advertisement displayed in accordance with attributes of users and search words. One of an interest topic of item allocation and pricing problem is an envy-freeness. A key idea of envy-free is that no buyer has incentive to exchange own items and its payment pair with another buyer's items and its payment pair. It is known that a revenue maximization problem with envy-freeness is a NP-hard problem. In this paper, we study a special case of multi items envy-free allocation problems. Every buyer has a unit valuation, a budget and a preferred item set the buyer wants.
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