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20222026
most citedWhy do tree-based models still outperform deep learning on tabular data?

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cs.IR2026

Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation

Clémence Réda, Tomas Rigaux, Hiba Bederina +3

A core research question in recommender systems is to propose batches of highly relevant and diverse items, that is, items personalized to the user's preferences, but which also mi…