CCR - A Content-Collaborative Reciprocal Recommender for Online Dating

Akehurst, Joshua; Koprinska, Irena; Yacef, Kalina; Pizzato, Luiz Augusto Sangoi; Kay, Judy; Rej, Tomasz

doi:10.5591/978-1-57735-516-8/IJCAI11-367

CCR - A Content-Collaborative Reciprocal Recommender for Online Dating

Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, Tomasz Rej

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2199-2203.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-367

Abstract

We present a new recommender system for online dating. Using a large dataset from a major online dating website, we first show that similar people, as defined by a set of personal attributes, like and dislike similar people and are liked and disliked by similar people. This analysis provides the foundation for our Content-Collaborative Reciprocal (CCR) recommender approach. The content-based part uses selected user profile features and similarity measure to generate a set of similar users. The collaborative filtering part uses the interactions of the similar users, including the people they like/dislike and are liked/disliked by, to produce reciprocal recommendations. CCR addresses the cold start problem of new users joining the site by being able to provide recommendations immediately, based on their profiles. Evaluation results show that the success rate of the recommendations is 69.26% compared with a baseline of 35.19% for the top 10 ranked recommendations.

Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Augusto Sangoi Pizzato, Judy Kay, and Tomasz Rej. 2011. CCR - A Content-Collaborative Reciprocal Recommender for Online Dating. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2199–2203. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-367

@inproceedings{ijcai2011p367,
  title     = {CCR - A Content-Collaborative Reciprocal Recommender for Online Dating},
  author    = {Akehurst, Joshua and Koprinska, Irena and Yacef, Kalina and Pizzato, Luiz Augusto Sangoi and Kay, Judy and Rej, Tomasz},
  booktitle = {Proceedings of the Twenty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-11}},
  publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
  editor    = {Toby Walsh},
  pages     = {2199--2203},
  year      = {2011},
  month     = {7},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-367},
  url       = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-367},
}

TY  - CPAPER
TI  - CCR - A Content-Collaborative Reciprocal Recommender for Online Dating
AU  - Akehurst, Joshua
AU  - Koprinska, Irena
AU  - Yacef, Kalina
AU  - Pizzato, Luiz Augusto Sangoi
AU  - Kay, Judy
AU  - Rej, Tomasz
T2  - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11
PB  - AAAI Press/International Joint Conferences on Artificial Intelligence
PY  - 2011
SP  - 2199
EP  - 2203
DO  - 10.5591/978-1-57735-516-8/IJCAI11-367
UR  - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-367
ER  -