Love me Tinder: Untangling emerging adults’ motivations for using the dating application Tinder
Brozovsky & Petricek conducted a user experiment to investigate how users perceived the algorithms. Random, mean, and user-user algorithm were tested. Two lists of recommendations were shown to users originating from two algorithms. Between all algorithms, user-user outperformed other algorithms. The mean algorithm, however, performed surprisingly well. The random algorithm performed expectedly poorly.
They use a survey among Dutch emerging adults to investigate the different motivations to use Tinder
Brozovsky & Petricek showed in their work that collaborative filtering algorithms, like user-user or item-item are a favorable option for online matchmaking. (more…)