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Measuring and mitigating biases in location-based recommender systems

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IIT-24-219C.pdf (193.6Kb)
Date
2024-06-21
Author
Sánchez Pérez, Pablo
Bellogín, Alejandro
Boratto, Ludovico
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info:eu-repo/semantics/publishedVersion
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Abstract
 
 
This article is a summary of the work published in the journal Data Mining and Knowledge Discovery[1]. It presents an analysis of different types of biases and polarization measurements that affect the area of Point-Of-Interest recommendation. Our results evidence which state-of-the-art recommender ssuffer from popularity bias,venue exposure polarization,and geograph-ical distance polarization.
 
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http://hdl.handle.net/11531/97770
Measuring and mitigating biases in location-based recommender systems
Tipo de Actividad
Capítulos en libros
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

POI recommendation, Bias mitigation, Polarization, Temporal Evaluation
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