Bias assessment approaches for addressing user-centered fairness in gnn-based recommender systems

HIGHLIGHTS

• who: Nikzad Chizari and collaborators from the Department of Computer Science and Automation, Science Faculty, University of Salamanca, Plaza de los Cau00eddos sn, Salamanca, Spain have published the research work: Bias Assessment Approaches for Addressing User-Centered Fairness in GNN-Based Recommender Systems, in the Journal: Information 2023, 14, 131. of /2023/
• what: In this work the suitability of different user-centered metrics in the context of GNN-based recommender systems are analyzed as well as the response of recommendation methods with respect to the different types of biases to which these measures are addressed . . .
  

   

  

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