Why Recommend?

⮴ Talks

On Mar. 11, 2026 I delivered (remotely) the closing remarks for the Workshop on Recommender Systems for Social Good hosted by the Ethical Data Initiative at TU Munich, entitled “Why Recommend?”.

Slides

References

Michael D. Ekstrand, Aleksandra Sarcevic, Afsaneh Razi, Maria Soledad Pera, Robin Burke, and Katherine Landau Wright. 2025. Recommending With, Not For: Co-Designing Recommender Systems for Social Good. Transactions on Recommender Systems. Just Accepted (Aug 5, 2025). DOI 10.1145/3759261. arXiv:2508.03792 [cs.HC]. Cited 4 times.
“Where are the People?”, a lecture I gave at TU Wien
Michael D. Ekstrand, Anubrata Das, Robin Burke, and Fernando Diaz. 2022. Fairness in Information Access Systems. Foundations and Trends® in Information Retrieval 16(1–2) (July 2022), 1–177. DOI 10.1561/1500000079. arXiv:2105.05779 [cs.IR]. NSF PAR 10347630. Impact factor: 8. Cited 277 times. Cited 108 times.
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, and Ben Carterette. 2020. Evaluating Stochastic Rankings with Expected Exposure. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM ’20), Oct 21, 2020. ACM, pp. 275–284. DOI 10.1145/3340531.3411962. arXiv:2004.13157 [cs.IR]. NSF PAR 10199451. Acceptance rate: 20%. Nominated for Best Long Paper. Cited 235 times. Cited 181 times.
Chris Anderson. 2006. The Long Tail: Why the Future of Business Is Selling Less of More. Hyperion (2006).
Nicholas J. Belkin and S E Robertson. 1976. “Some Ethical and Political Implications of Theoretical Research in Information Science.” In Proceedings of the ASIS Annual Meeting. https://www.researchgate.net/publication/255563562.
William Hill, Larry Stead, Mark Rosenstein, and George Furnas. 1995. “Recommending and Evaluating Choices in a Virtual Community of Use.” CHI ’95: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (New York, NY, USA), 194–201. https://doi.org/10.1145/223904.223929.
E. E. Lawrence. 2020. “On the Problem of Oppressive Tastes in the Public Library.” Journal of Documentation 76 (5): 1091–1107. doi:10.1108/JD-01-2020-0002.
Andrew D. Selbst, Danah Boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, and Janet Vertesi. 2019. “Fairness and Abstraction in Sociotechnical Systems.” In Proceedings of the Conference on Fairness, Accountability, and Transparency, 59–68. FAT* ’19. doi:10.1145/3287560.3287598.