@article{Wobcke_Krzywicki_Kim_Cai_Bain_Compton_Mahidadia_2015, title={A Deployed People-to-People Recommender System in Online Dating}, volume={36}, url={https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/2599}, DOI={10.1609/aimag.v36i3.2599}, abstractNote={Online dating is a prime application area for recommender systems, as users face an abundance of choice, must act on limited information, and are participating in a competitive matching market. This article reports on the successful deployment of a people-to-people recommender system on a large commercial online dating site. The deployment was the result of thorough evaluation and an online trial of a number of methods, including profile-based, collaborative filtering and hybrid algorithms. Results taken a few months after deployment show that the recommender system delivered its projected benefits.}, number={3}, journal={AI Magazine}, author={Wobcke, Wayne and Krzywicki, Alfred and Kim, Yang Sok and Cai, Xiongcai and Bain, Michael and Compton, Paul and Mahidadia, Ashesh}, year={2015}, month={Sep.}, pages={5-18} }