Reciprocal recommender system for online dating

  • Authors:

  • Luiz Pizzato;Tomek Rej;Thomas Chung;Irena Koprinska;Kalina Yacef;Judy Kay

  • Affiliations:

  • University of Sydney, Sydney, Australia;University of Sydney, Sydney, Australia;University of Sydney, Sydney, Australia;University of Sydney, Sydney, Australia;University of Sydney, Sydney, Australia;University of Sydney, Sydney, Australia

  • Venue:
  • Proceedings of the fourth ACM conference on Recommender systems
  • Year:
  • 2010

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Abstract

Reciprocal recommender is a class of recommender systems that is important for tasks where people are both the subject and the object of the recommendation; one such task is online dating. We have implemented RECON, a reciprocal recommender for online dating, and we have evaluated it on a major dating website. Results show an improved success rate for recommendations that consider reciprocity in comparison to recommendations that only consider the preferences of the users receiving the recommendations.