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Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset

Recommender Systems have become one of the most important tools for streaming and marketplace systems in recent years. Their increased use has revealed clear bias and unfairness against minorities and underrepresented groups. This paper seeks the origin of these biases and unfairness. To this end, i...

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Principais autores: Alvaro Gonzalez, Fernando Ortega, Diego Perez-Lopez, Santiago Alonso
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2022-01-01
coleção:IEEE Access
Assuntos:
Acesso em linha:https://ieeexplore.ieee.org/document/9808125/
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