Measuring and mitigating biases in location-based recommender systems

P. Sánchez, A. Bellogín, L. Boratto

I Spanish Conference on Recommender Systems - SISREC 2024, Corunna (Spain). 19-21 June 2024

Summary:

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.

Keywords: POI recommendation, Bias mitigation, Polarization, Temporal Evaluation

Published in CAEPIA 2024, pp: 615-616, ISBN: 978-84-09-62724-0

Publication date: 2024-06-21.

Citation:
P. Sánchez, A. Bellogín, L. Boratto, Measuring and mitigating biases in location-based recommender systems, I Spanish Conference on Recommender Systems - SISREC 2024, Corunna (Spain). 19-21 June 2024. In: CAEPIA 2024: XX Conferencia de la Asociación Española para la Inteligencia Artificial. A Coruña, 19 al 21 de Junio de 2024, ISBN: 978-84-09-62724-0