Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems
Ashmi Banerjee, Paromita Banik, Wolfgang W\"orndl

TL;DR
This paper reviews fairness issues in tourism recommender systems, emphasizing multi-stakeholder perspectives, challenges, and potential strategies for achieving fair outcomes across different parties involved.
Contribution
It highlights the importance of multi-stakeholder fairness in tourism RS and explores cross-domain solutions and strategies for addressing fairness challenges.
Findings
Identifies key fairness challenges in tourism RS.
Discusses potential strategies for multi-stakeholder fairness.
Explores applicability of cross-domain fairness solutions.
Abstract
This position paper summarizes our published review on individual and multistakeholder fairness in Tourism Recommender Systems (TRS). Recently, there has been growing attention to fairness considerations in recommender systems (RS). It has been acknowledged in research that fairness in RS is often closely tied to the presence of multiple stakeholders, such as end users, item providers, and platforms, as it raises concerns for the fair treatment of all parties involved. Hence, fairness in RS is a multi-faceted concept that requires consideration of the perspectives and needs of the different stakeholders to ensure fair outcomes for them. However, there may often be instances where achieving the goals of one stakeholder could conflict with those of another, resulting in trade-offs. In this paper, we emphasized addressing the unique challenges of ensuring fairness in RS within the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
