The envy-free pricing problem can be stated as finding a pricing and allocation scheme in which each consumer is allocated a set of items that maximize his/her utility under the pricing. The goal is to maximize seller...The envy-free pricing problem can be stated as finding a pricing and allocation scheme in which each consumer is allocated a set of items that maximize his/her utility under the pricing. The goal is to maximize seller revenue. We study the problem with general supply constraints which are given as an independence system defined over the items. The constraints, for example, can be a number of linear constraints or matroids. This captures the situation where items do not pre-exist, but are produced in reflection of consumer valuation of the items under the limit of resources. This paper focuses on the case of unit-demand consumers. In the setting, there are n consumers and rn items; each item may be produced in multiple copies. Each consumer i ∈[n] has a valuation vij on item j in the set Si in which he/she is interested. He/she must be allocated （if any） an item which gives the maximum （non-negative） utility. Suppose we are given an a-approximation oracle for finding the maximum weight independent set for the given independence system （or a slightly stronger oracle）; for a large number of natural and interesting supply constraints, constant approximation algorithms are available. We obtain the following results. 1） O（αlogn）-approximation for the general case. 2） O（ακ）-approximation when each consumer is interested in at most k distinct types of items. 3） O（αf）-approximation when each type of item is interesting to at most f consumers. Note that the final two results were previously unknown even without the independence system constraint.展开更多
基金Sungjin Im is partially supported by the National Science Foundation of USA under Grant Nos. CCF-0728782, CNS-0721899
文摘The envy-free pricing problem can be stated as finding a pricing and allocation scheme in which each consumer is allocated a set of items that maximize his/her utility under the pricing. The goal is to maximize seller revenue. We study the problem with general supply constraints which are given as an independence system defined over the items. The constraints, for example, can be a number of linear constraints or matroids. This captures the situation where items do not pre-exist, but are produced in reflection of consumer valuation of the items under the limit of resources. This paper focuses on the case of unit-demand consumers. In the setting, there are n consumers and rn items; each item may be produced in multiple copies. Each consumer i ∈[n] has a valuation vij on item j in the set Si in which he/she is interested. He/she must be allocated （if any） an item which gives the maximum （non-negative） utility. Suppose we are given an a-approximation oracle for finding the maximum weight independent set for the given independence system （or a slightly stronger oracle）; for a large number of natural and interesting supply constraints, constant approximation algorithms are available. We obtain the following results. 1） O（αlogn）-approximation for the general case. 2） O（ακ）-approximation when each consumer is interested in at most k distinct types of items. 3） O（αf）-approximation when each type of item is interesting to at most f consumers. Note that the final two results were previously unknown even without the independence system constraint.
