Matching problems with group fairness constraints have numerous applications, from school choice to committee selection. We consider matchings under diversity constraints. Our problem involves assigning "items" to "platforms" in the presence of diversity constraints. Items belong to various "groups" depending on their attributes, and the constraints are stated in terms of lower bounds on the number of items from each group matched to each platform. In another model, instead of absolute lower bounds, "proportional fairness constraints" are considered. We give hardness results and design approximation algorithms for these problems. The technical core of our proofs is a new connection between these problems and the problem of matchings in hypergraphs. Our third problem addresses a logistical challenge involving opening platforms in the presence of diversity constraints. We give an efficient algorithm for this problem based on dynamic programming.
翻译:与群体公平性制约相匹配的问题有许多应用,从学校选择到委员会选择。我们考虑在多样性制约下进行匹配。我们的问题涉及在多样性制约下将“项目”分配给“平台”的问题。项目属于不同“群体”的属性,而限制则表现为每个群体与每个平台相匹配的物项数量受较低限制。在另一种模式中,“比例公平性制约”不是绝对低限,而是考虑“绝对低限 ” 。我们给出了硬性结果,并设计了这些问题的近似算法。我们证据的技术核心是这些问题与高音匹配问题之间的新联系。我们的第三个问题解决了在多样性制约下开放平台的后勤挑战。我们根据动态编程为这一问题提供了高效的算法。