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· Proceedings of the 20th ACM...· 0 citations
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.· Proceedings of the 20th ACM...· 0 citations
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