TY - JOUR
T1 - A review on individual and multistakeholder fairness in tourism recommender systems
AU - Banerjee, Ashmi
AU - Banik, Paromita
AU - Wörndl, Wolfgang
N1 - Publisher Copyright:
Copyright © 2023 Banerjee, Banik and Wörndl.
PY - 2023
Y1 - 2023
N2 - The growing use of Recommender Systems (RS) across various industries, including e-commerce, social media, news, travel, and tourism, has prompted researchers to examine these systems for any biases or fairness concerns. Fairness in RS is a multi-faceted concept ensuring fair outcomes for all stakeholders involved in the recommendation process, and its definition can vary based on the context and domain. This paper highlights the importance of evaluating RS from multiple stakeholders' perspectives, specifically focusing on Tourism Recommender Systems (TRS). Stakeholders in TRS are categorized based on their main fairness criteria, and the paper reviews state-of-the-art research on TRS fairness from various viewpoints. It also outlines the challenges, potential solutions, and research gaps in developing fair TRS. The paper concludes that designing fair TRS is a multi-dimensional process that requires consideration not only of the other stakeholders but also of the environmental impact and effects of overtourism and undertourism.
AB - The growing use of Recommender Systems (RS) across various industries, including e-commerce, social media, news, travel, and tourism, has prompted researchers to examine these systems for any biases or fairness concerns. Fairness in RS is a multi-faceted concept ensuring fair outcomes for all stakeholders involved in the recommendation process, and its definition can vary based on the context and domain. This paper highlights the importance of evaluating RS from multiple stakeholders' perspectives, specifically focusing on Tourism Recommender Systems (TRS). Stakeholders in TRS are categorized based on their main fairness criteria, and the paper reviews state-of-the-art research on TRS fairness from various viewpoints. It also outlines the challenges, potential solutions, and research gaps in developing fair TRS. The paper concludes that designing fair TRS is a multi-dimensional process that requires consideration not only of the other stakeholders but also of the environmental impact and effects of overtourism and undertourism.
KW - fairness
KW - information retrieval
KW - multistakeholder recommendations
KW - tourism recommender systems
KW - travel
UR - http://www.scopus.com/inward/record.url?scp=85159932183&partnerID=8YFLogxK
U2 - 10.3389/fdata.2023.1168692
DO - 10.3389/fdata.2023.1168692
M3 - Review article
AN - SCOPUS:85159932183
SN - 2624-909X
VL - 6
JO - Frontiers in Big Data
JF - Frontiers in Big Data
M1 - 1168692
ER -