An association rule-based recommendation engine for online dating sites

dc.contributor	Graduate Program in Management Information Systems.
dc.contributor.advisor	Badur, Bertan Yılmaz.
dc.contributor.advisor	Darcan, Osman Nuri.
dc.contributor.author	Özseyhan, Yağız Civan.
dc.date.accessioned	2023-03-16T12:51:39Z
dc.date.available	2023-03-16T12:51:39Z
dc.date.issued	2009.
dc.identifier.other	MIS 2009 O87
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/18133
dc.description.abstract	In this study, the database of a Turkish online dating site is analyzed to reveal patterns in the personal features of matching couples. By using a functionality of data mining, the Association Rule mining, a set of rules is extracted from the available messaging and user data. The rules are used for the development of a recommendation engine which is capable to give list of best potential matches to the site user. The performance of the recommendation engine is tested with statistical tools to find whether the increase in the quality of results is significant.
dc.format.extent	30cm.
dc.publisher	Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in Social Sciences, 2009.
dc.relation	Includes appendices.
dc.relation	Includes appendices.
dc.subject.lcsh	Online dating.
dc.subject.lcsh	Data mining.
dc.title	An association rule-based recommendation engine for online dating sites
dc.format.pages	vii, 96 leaves;