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cs.IR2026
Training seeds and model-selection stability in recommender-system evaluation
Juan Manuel Rodriguez, Oleg Lesota, Antonela Tommasel
Recommender-system experiments often rely on a single random training seed, assuming that run-to-run stochasticity has limited impact on evaluation conclusions. This assumption is…
cs.IR2023
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction
Juan Manuel Rodriguez, Antonela Tommasel
This paper provides an overview of the approach we used as team ISISTANITOS for the ACM RecSys Challenge 2023. The competition was organized by ShareChat, and involved predicting t…