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A. Bhadury

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Book Open access Sep 2026

Methodology First: Rethinking Research Assessment in RecSys (FRAME)

We propose a novel workshop aimed at piloting a new paradigm for recommender systems research execution and evaluation. The workshop will foster the identification and formalization of new recommendation tasks beyond the saturated top-N setting, with shared and rigorous evaluation methodologies. In parallel, the worksh...

Paolo Cremonesi, Maurizio Ferrari Dacrema, Dietmar Jannach et al. · 0 citations
#artificial intelligence Book Open access Jul 2026

RecEvolve: A Knowledge-Driven Autonomous Agent System for Recommender Systems

These findings prove that an autonomous pipeline can dramatically accelerate the pace of machine learning research and stress-test the rigorousness of underlying experimental infrastructure, while also exposing novel challenges such as reward hacking and redundant exploration of failed hypotheses.

W. Pan, He Ma, Shu-Hao Ye et al. · 1 citation

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