edit Reciprocal Recommenders

Reciprocal Recommenders

Luiz Pizzato, Tomek Rej, Thomas Chung, Joshua Akehurst, Irena Koprinska, Kalina Yacef, Judy Kay
School of Information Technologies, University of Sydney

Contact Person

Luiz Pizzato
luiz.pizzato@sydney.edu.au

Photo of Reciprocal Recommenders

Project Description

Reciprocal recommender is a class of recommender system that involves people as both subjects and objects of the recommendation process.

Some examples of domains where such recommenders are applied are:

  • job recommendation,
  • people recommendation on social networks,
  • mentor-mentee matching, and
  • online dating.

The research on reciprocal recommenders carried out at the CHAI research group strongly focuses on data mining and personalisation techniques in order to find people's preferences and ultimately to satisfy both users in a reciprocal match.

The reciprocal recommender project is funded by the Smart Services CRC.


Key Publications

L. Pizzato, T. Rej, J. Akehurst, I. Koprinska, K. Yacef, and J. Kay. Recommending people to people: the nature of reciprocal recommenders with a case study in online dating. User Modeling and User-Adapted Interaction: The Journal of Personalization Research, 23(5):447-488, 2013. [View Details]

L. Pizzato and A. Bhasin. Beyond friendship: The art, science and applications of recommending people to people in social networks. In Proceedings of the 7th ACM Conference on Recommender Systems, RecSys '13, pages 495-496, New York, NY, USA, 2013. ACM. [View Details]

L. A. Pizzato, T. Rej, K. Yacef, I. Koprinska, and J. Kay. Finding someone you will like and who won't reject you. In Proceedings of the 19th International Conference on User Modeling, Adaptation and Personalization, UMAP 2011, pages 269-280, 2011. [View Details]

J. Akehurst, I. Koprinska, K. Yacef, L. Pizzato, J. Kay, and T. Rej. Explicit and implicit user preferences in online dating. In The Behavior Informatics 2011 (BI2011) Workshop - The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2011), pages 15-27, May 2011. [View Details]

J. Akehurst, I. Koprinska, K. Yacef, L. Pizzato, J. Kay, and T. Rej. Ccr - a content-collaborative reciprocal recommender for online dating. In International Joint Conference on Artificial Intelligence, IJCAI 2011, pages 2199-2204, 2011. [View Details]

L. Pizzato, T. Rej, T. Chung, I. Koprinska, and J. Kay. Recon: A reciprocal recommender for online dating. Technical Report 653, School of Information Technologies, University of Sydney, 2010. [View Details]

L. Pizzato, T. Rej, T. Chung, I. Koprinska, K. Yacef, and J. Kay. Learning user preferences in online dating. In Proceedings of the Preference Learning (PL-10) Tutorial and Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2010. [View Details]

L. Pizzato, T. Rej, T. Chung, I. Koprinska, and J. Kay. Recon: a reciprocal recommender for online dating. In Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pages 207-214, New York, NY, USA, 2010. ACM. [View Details]

L. Pizzato, T. Rej, T. Chung, I. Koprinska, K. Yacef, and J. Kay. Reciprocal recommender system for online dating. In Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pages 353-354, New York, NY, USA, 2010. ACM. [View Details]

L. Pizzato, T. Rej, T. Chung, K. Yacef, I. Koprinska, and J. Kay. Reciprocal recommenders. In Proceedings of the 8th Workshop on Intelligent Techinques for Web Personalization & Recommender Systems (ITWP'10), UMAP 2010, pages 53-64, 2010. [View Details]

L. Pizzato, T. Chung, T. Rej, I. Koprinska, K. Yacef, and J. Kay. Learning user preference in online dating. Technical Report 656, School of Information Technologies, University of Sydney, July 2010. [View Details]