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Sep 2026
Scikit-Rank: Scikit-learn-Compatible Neural Ranking Models for Tabular Recommender Systems
Deep & Cross Networks (DCN) are established deep learning architectures for modeling feature interactions in CTR prediction, ranking, and recommender systems. Although they can achieve metrics comparable to gradient-boosting methods, existing implementations are often organized around framework-specific training loops...
Aleksandr Milogradskii, Ilya Veselov, Yaroslav Klyukin et al.
· Proceedings of the 20th ACM... · 0 citations