Evaluation and Deployment of a People-to-People Recommender in Online Dating

Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Xiongcai Cai, Michael Bain, Paul Compton, Ashesh Mahidadia

AAAI 2014 pp. 2914-2921

doi:10.1609/AAAI.V28I2.19032 /aaai/2014/krzywicki2014aaai-evaluation/

Abstract

This paper reports on the successful deployment of a peopleto-people recommender system in 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 key metrics generally hold their value or show an increase compared to the trial results, and that the recommender system delivered its projected benefits.

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Cite

Text

Krzywicki et al. "Evaluation and Deployment of a People-to-People Recommender in Online Dating." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I2.19032

Markdown

[Krzywicki et al. "Evaluation and Deployment of a People-to-People Recommender in Online Dating." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/krzywicki2014aaai-evaluation/) doi:10.1609/AAAI.V28I2.19032

BibTeX

@inproceedings{krzywicki2014aaai-evaluation,
  title     = {{Evaluation and Deployment of a People-to-People Recommender in Online Dating}},
  author    = {Krzywicki, Alfred and Wobcke, Wayne and Kim, Yang Sok and Cai, Xiongcai and Bain, Michael and Compton, Paul and Mahidadia, Ashesh},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {2914-2921},
  doi       = {10.1609/AAAI.V28I2.19032},
  url       = {https://mlanthology.org/aaai/2014/krzywicki2014aaai-evaluation/}
}