A Deployed People-to-People Recommender System in Online Dating
Keyword(s):
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.
2016 ◽
Vol 43
(1)
◽
pp. 135-144
◽
2015 ◽
Vol 14
(9)
◽
pp. 6118-6128
◽
2019 ◽
Vol 8
(5S3)
◽
pp. 457-463
2018 ◽
Vol 44
(6)
◽
pp. 802-817
◽
2020 ◽
Vol 15
(1)
◽
pp. 35-51
◽
2017 ◽
Vol 8
(4)
◽
pp. 20-48
◽
2021 ◽