New models for two variants of popular matching

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

We study the problem of matching a set of applicants to a set of posts, where each applicant has an ordinal preference list, which may contain ties, ranking a subset of posts. A matching M is popular if there exists no matching M' where more applicants prefer M' to M. Several notions of optimality are studied in the literature for the case of strictly ordered preference lists. In this paper we address the case involving ties and propose novel algorithmic and complexity results for this variant. Next, we focus on the NP-hard case where additional copies of posts can be added in the preference lists, called Popular Matching with Copies. We define new dominance rules for this problem and present several novel graph properties characterising the posts that should be copied with priority. We present a comprehensive set of experiments for the popular matching problem with copies to evaluate our dominance rules as well as the different branching strategies. Our experimental study emphasizes the importance of the dominance rules and characterises the key aspects of a good branching strategy.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017
PublisherIEEE Computer Society
Pages752-759
Number of pages8
ISBN (Electronic)9781538638767
DOIs
Publication statusPublished - 2 Jul 2017
Event29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017 - Boston, United States
Duration: 6 Nov 20178 Nov 2017

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2017-November
ISSN (Print)1082-3409

Conference

Conference29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
Country/TerritoryUnited States
CityBoston
Period6/11/178/11/17

Keywords

  • Branching strategies
  • Popular Matching
  • Preferences

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