Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization 2023
DOI: 10.1145/3565472.3595607
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Fairness and Sustainability in Multistakeholder Tourism Recommender Systems

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Cited by 5 publications
(6 citation statements)
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“…Depending on the context of a specific city, different actions need to be taken in order to be able to achieve related sustainable development goals . Helping public stakeholders to achieve related sustainability goals can be supported, for example, on the basis of case-based recommender systems which follow the idea of supporting the identification of similar cases (cities) and on the basis of related measures already completed in similar cities to recommend sustainability-fostering activities for the current city (Banerjee, 2023).…”
Section: Sustainable Cities and Communitiesmentioning
confidence: 99%
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“…Depending on the context of a specific city, different actions need to be taken in order to be able to achieve related sustainable development goals . Helping public stakeholders to achieve related sustainability goals can be supported, for example, on the basis of case-based recommender systems which follow the idea of supporting the identification of similar cases (cities) and on the basis of related measures already completed in similar cities to recommend sustainability-fostering activities for the current city (Banerjee, 2023).…”
Section: Sustainable Cities and Communitiesmentioning
confidence: 99%
“…In such contexts, recommender systems can support also individuals (e.g., citizens and tourists) in the completion of their tasks and the achievement of their goals. For example, sustainable tourism recommender systems are able to propose relevant points of interest (POI) whilst taking into account aspects such as negative environmental impacts, local communities, and cultural heritage (Khan et al, 2021;Banerjee, 2023;Merinov, 2023). Related interventions are needed that assure fairness among multiple stakeholders such as tourists, tourism organizations, local citizens, and environmental aspects such as water quality, air quality, and wildlife.…”
Section: Sustainable Cities and Communitiesmentioning
confidence: 99%
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“…In such contexts, recommender systems can support also individuals (e.g., citizens and tourists) in the completion of their tasks and the achievement of their goals. For example, sustainable tourism recommender systems are able to propose relevant points of interest (POI) whilst taking into account aspects such as negative environmental impacts, local communities, and cultural heritage (Khan et al, 2021 ; Banerjee, 2023 ; Merinov, 2023 ). Related interventions are needed that assure fairness among multiple stakeholders such as tourists, tourism organizations, local citizens, and environmental aspects such as water quality, air quality, and wildlife.…”
Section: Recommender Systems For Sustainabilitymentioning
confidence: 99%
“…Calculating recommendations in such scenarios requires the integration of optimization methods supporting, for example, the optimization of round trips of individual travel groups, resource balancing in the sense that not too many tourists visit specific sightseeing destinations at the same time (triggering issues in terms of disturbances, environmental pollution, and the scaring of animals; Sihotang et al, 2021 ; Merinov, 2023 ). In such contexts, explanations can help to assure recommendation understandability and to sensitize stakeholders with regard to sustainability aspects (Banerjee, 2023 ).…”
Section: Recommender Systems For Sustainabilitymentioning
confidence: 99%