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Optimally balancing receiver and recommended users' importance in reciprocal recommender systems
2018
Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18
Online platforms which assist people in finding a suitable partner or match, such as online dating and job recruiting environments, have become increasingly popular in the last decade. Many of these platforms include recommender systems which aim at helping users discover other people who will also be interested in them. These recommender systems benefit from contemplating the interest of both sides of the recommended match, however the question of how to optimally balance the interest and the
doi:10.1145/3240323.3240349
dblp:conf/recsys/KleinermanR0K18
fatcat:hadpzsntwjeyrby7wsgqykagna