Algorithmic fairness Recommender systems

The effect of homophily on disparate visibility of minorities in people recommender systems

Demographics and homophily are the main drivers behind people recommendation in social networks and can affect the visibility that is given to users when they are recommended. These phenomena mainly impact users who belong to the minority groups, which have lower possibilities of being recommended, unless they are highly homophilic. In a recent ICWSM 2020 …

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