Understanding User Perspectives on Sustainability and Fairness in Tourism Recommender Systems

Author:

Banik Paromita1ORCID,Banerjee Ashmi1ORCID,Wörndl Wolfgang1ORCID

Affiliation:

1. Technical University of Munich, Germany

Publisher

ACM

Reference38 articles.

1. Multistakeholder recommendation: Survey and research directions

2. Himan Abdollahpouri and Robin Burke . 2019. Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. (07 2019 ). Himan Abdollahpouri and Robin Burke. 2019. Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. (07 2019).

3. Himan Abdollahpouri , Robin Burke , and Bamshad Mobasher . 2019. Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. arXiv preprint arXiv:1901.07555 ( 2019 ). Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2019. Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. arXiv preprint arXiv:1901.07555 (2019).

4. Himan Abdollahpouri and Masoud Mansoury . 2020. Multi-sided exposure bias in recommendation. arXiv preprint arXiv:2006.15772 ( 2020 ). Himan Abdollahpouri and Masoud Mansoury. 2020. Multi-sided exposure bias in recommendation. arXiv preprint arXiv:2006.15772 (2020).

5. Fairness and Sustainability in Multistakeholder Tourism Recommender Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Green Destination Recommender: A Web Application to Encourage Responsible City Trip Recommendations;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. Intelligent Exchange of Sustainable Tourist Habits among the EU Member States;Administrative Sciences;2024-06-19

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