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cs.IR2024
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
Guy Aridor, Duarte Goncalves, Ruoyan Kong +2
An increasingly important aspect of designing recommender systems involves considering how recommendations will influence consumer choices. This paper addresses this issue by intro…
cs.IR2024★ 1 cited
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
Ruixuan Sun, Xinyi Wu, Avinash Akella +3
In the past decade, deep learning (DL) models have gained prominence for their exceptional accuracy on benchmark datasets in recommender systems (RecSys). However, their evaluation…