Bias characterization, assessment, and mitigation in location-based recommender systems

HIGHLIGHTS

• who: POI recommendation Bias mitigation and colleagues from the Instituto de Investigaciu00f3n Tecnolu00f3gica (IIT), Universidad Pontificia Comillas, CAlberto Aguilera, Madrid, Spain have published the research work: Bias characterization, assessment, and mitigation in location-based recommender systems, in the Journal: (JOURNAL)
• what: The authors focus on four forms of namely venue popularity category popularity venue exposure and geographical distance. The authors characterize them on different families of algorithms when using a realistic (temporalaware) offline evaluation methodology while assessing their existence. Besides the authors propose two automatic approaches to mitigate those biases. The authors assess if the . . .
  

   

  

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