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Fairness in recommender systems has been considered with respect to sensitive attributes of users (e.g., gender, race) or items (e.g., revenue in a multistakeholder setting).
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All The Cool Kids, How Do They Fit In?: Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. In Conference on Fairness, Accountability and Transparency
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A Fairness-aware Hybrid Recommender System
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Fairness of Exposure in Rankings. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018
Ashudeep Singh and Thorsten Joachims. 2018 · 2018
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A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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FA*IR: A Fair Top-k Ranking Algorithm. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, and Ricardo A. Baeza-Yates. 2017 · 2017
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Equity of Attention: Amortizing Individual Fairness in Rankings. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
Asia J. Biega, Krishna P. Gummadi, and Gerhard Weikum. 2018 · 2018
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Balanced Neighborhoods for Multi-sided Fairness in Recommendation. In Conference on Fairness, Accountability and Transparency, FAT 2018, 23-24 February 2018, New York, NY, USA
Robin Burke, Nasim Sonboli, and Aldo Ordonez-Gauger. 2018 · 2018
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Audio-visual encoding of multimedia content for enhancing movie recommendations. In Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018
Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, and Paolo Cremonesi. 2018a · 2018
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Content-Based Multimedia Recommendation Systems: Definition and Application Domains. In Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018
Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, and Gabriella Pasi. 2018b · 2018
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Assessing the Impact of a User-Item Collaborative Attack on Class of Users. In Workshop on the Impact of Recommender Systems (ImpactRecSys’19) - 13th ACM Conference of Recommender Systems
Yashar Deldjoo, Tommaso Di Noia, and Felice Antonio Merra. 2019b
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Fairness In Reciprocal Recommendations: A Speed-Dating Study. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018
Yong Zheng, Tanaya Dave, Neha Mishra, and Harshit Kumar. 2018 · 2018
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Fairness-Aware Tensor-Based Recommendation. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
Ziwei Zhu, Xia Hu, and James Caverlee. 2018 · 2018
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Session-Based Hotel Recommendations: Challenges and Future Directions
Jens Adamczak, Gerard-Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, and Philipp Monreal. 2019 · 2019
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Local Popularity and Time in top-N Recommendation. In Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, and Joseph Trotta. 2019 · 2019
Closest in time.
Movie genome: alleviating new item cold start in movie recommendation
Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, and Paolo Cremonesi. 2019a · 2019
Closest in time.