A fairness-aware multi-stakeholder recommender system

Author:

Ranjbar Kermany NaimeORCID,Zhao Weiliang,Yang Jian,Wu Jia,Pizzato Luiz

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference43 articles.

1. Abbassi, Z., Amer-Yahia, S., Lakshmanan, L.V., Vassilvitskii, S., Yu, C.: Getting recommender systems to think outside the box. In: Proceedings of the Third ACM Conference on Recommender Systems, pp. 285–288 (2009)

2. Abdollahpouri, H.: Incorporating system-level objectives into recommender systems. In: Companion Proceedings of the 2019 World Wide Web Conference, pp. 2–6. ACM (2019)

3. Abdollahpouri, H., Adomavicius, G., Burke, R., Guy, I., Jannach, D., Kamishima, T., Krasnodebski, J., Pizzato, L.: Beyond personalization: research directions in multistakeholder recommendation. arXiv:1905.01986(2019)

4. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6), 734–749 (2005)

5. Anderson, C.: The Long Tail: why the Future of Business is Selling Less of More. Hachette Books, New York (2006). https://en.wikipedia.org/wiki/Hachette_Books

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