Ali, AlnurAlnurAliMurphy, Thomas BrendanThomas BrendanMurphyMeila, MarinaMarinaMeilaChen, HarrHarrChen2011-03-102011-03-102010-12-10http://hdl.handle.net/10197/2832NIPS Workshop on Computational Social Science and the Wisdom of Crowds, December 10th 2010, Whistler, CanadaApplicants to degree courses in Irish colleges and universities rank up to ten degree courses from a list of over five hundred. These data provide a wealth of information concerning applicant degree choices. A Dirichlet process mixture of generalized Mallows models are used to explore data from a cohort of applicants. We find strong and diverse clusters, which in turn gains us important insights into the workings of the system. No previously tried models or analysis technique are able to model the data with comparable accuracy.76387 bytesapplication/pdfenRank DataClusteringCluster analysisCollege applications--Mathematical modelsCollege choice--Mathematical modelsBayesian statistical decision theoryConference Publicationhttps://creativecommons.org/licenses/by-nc-sa/1.0/