For more information about the multistakeholder recommendation, see:
- Abdollahpouri, Himan, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, and Luiz Pizzato. "Beyond Personalization: Research Directions in Multistakeholder Recommendation." arXiv preprint arXiv:1905.01986 (2019).PDF
- Krasnodebski, Jan, and John Dines. "Considering supplier relations and monetization in designing recommendation systems." Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 2016. PDF
- Burke, Robin D., Himan Abdollahpouri, Bamshad Mobasher, and Trinadh Gupta. "Towards Multi-Stakeholder Utility Evaluation of Recommender Systems." In UMAP (Extended Proceedings). 2016.PDF
- Yao, Sirui, and Bert Huang. "Beyond parity: Fairness objectives for collaborative filtering." Advances in Neural Information Processing Systems. 2017.PDF
- Mehrotra, Rishabh, et al. "Towards a fair marketplace: Counterfactual evaluation of the trade-off between relevance, fairness & satisfaction in recommendation systems." In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 2243-2251. ACM, 2018.PDF