Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Recommender Systems (RS) are widely used in various domains, including travel and tourism, to provide personalized recommendations for accommodations, activities, and destinations. However, the evaluation of RS has traditionally focused on satisfying the needs of end users, item providers, or the recommendation platform itself without considering the impact on society. Sustainable tourism practices are becoming increasingly important, and a Tourism Recommendation System (TRS) can play a crucial role in promoting sustainability by suggesting sustainable activities and less popular destinations to users. In this study, we explore the effect of integrating sustainable recommendations into TRS to ensure fairness for society. We conduct a user study utilizing synthetic recommendations to assess user perceptions of sustainable options versus unsustainable options. Our contributions include insights into effective strategies for incorporating sustainable items in recommendations, understanding user reactions to sustainable alternatives, and identifying helpful recommendation elements for users in their decision-making process. Our findings demonstrate that including sustainable options in recommendations can encourage tourists to visit sustainable and less popular areas and help address issues such as overtourism and undertourism in the travel and tourism industry.

Original languageEnglish
Title of host publicationUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages241-248
Number of pages8
ISBN (Electronic)9781450398916
DOIs
StatePublished - 26 Jun 2023
Event31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus
Duration: 26 Jun 202330 Jun 2023

Publication series

NameUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Country/TerritoryCyprus
CityLimassol
Period26/06/2330/06/23

Keywords

  • Fairness
  • Recommender Systems
  • Society
  • Sustainability
  • Tourism
  • User Perceptions

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