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cs.IR2025
We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
Alan Said, Maria Soledad Pera, Michael D. Ekstrand
In 2011, Xavier Amatriain sounded the alarm: recommender systems research was "doing it all wrong" [1]. His critique, rooted in statistical misinterpretation and methodological sho…
cs.IR2025★ 1 cited
On the Reliability of Sampling Strategies in Offline Recommender Evaluation
Bruno L. Pereira, Alan Said, Rodrygo L. T. Santos
Offline evaluation plays a central role in benchmarking recommender systems when online testing is impractical or risky. However, it is susceptible to two key sources of bias: expo…
cs.IR2025
Recommender Systems for Social Good: The Role of Accountability and Sustainability
Alan Said
This work examines the role of recommender systems in promoting sustainability, social responsibility, and accountability, with a focus on alignment with the United Nations Sustain…