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Communications of the IBIMA
An Association Rule-Based Recommendation Engine for an Online Dating Site
Civan Özseyhan1, Bertan Badur2 and Osman N. Darcan2
1EBI, Istanbul, Turkey
2MIS Department, Boğaziçi University, Istanbul, Turkey
Volume 2012 (2012), Article ID 775316, Communications of the IBIMA, 15 pages
DOI: 10.5171/2012.775316
Copyright © 2012 Civan Özseyhan, Bertan Badur and Osman N. Darcan. This is an open access article distributed under the Creative Commons Attribution License unported 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided that original work is properly cited.
Abstract
Being a popular social network type, online dating sites provide a platform for people to find partners for establishing a relationship. In this study, a recommendation engine for one of the prominent online dating sites of Turkey is developed. It works as a support system to suggest potential matches to the site users. As opposed to the traditional systems that match users based on their revealed preferences, the engine is based on a rule set extracted from the past communication data, using association rule mining. A list of best matches based on scoring derived from these rules is presented. The performance of the engine is statistically tested. It is found that the scores of matching couples are found to be significantly higher than the non-matched couples’ scores.
Keywords: online dating, recommendation engine, association rule mining.
Keywords: online dating, recommendation engine, association rule mining.
