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Author

Joeran Beel

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Book Open access Sep 2026

FINALLY: A Dataset Recommender for RecSys Experiments

FINALLY is a web-based recommender system for dataset selection in RecSys experiments. It supports a decision often made manually or by convention: choosing datasets to evaluate a recommendation algorithm offline. With FINALLY, users choose seed datasets, filters, a target set size, and a recommendation strategy. FINAL...

L. Owie, Tobias Vente, Joeran Beel · 0 citations
#artificial intelligence Book Open access Sep 2026

AutoRecLab: An Autonomous Recommender Systems Lab

AutoRecLab is presented, a Python-based autonomous RecSys lab that automates RecSys experimentation from natural-language prompts that achieves 8 out of 9 successful runs at an average cost of approximately $1 per run using GPT-5.4-mini.

Moritz Baumgart, Philipp Meister, Justus Krell et al. · 0 citations

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