19 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.IR2026
RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems
Haoran Ling, Yuecheng Li, Zeyu Song +5
Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy changes. While LLM-based agents can…
cs.IR2020★ 19 cited
Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario
Sebastiano Antenucci, Simone Boglio, Emanuele Chioso +4
In this paper we provide an overview of the approach we used as team Creamy Fireflies for the ACM RecSys Challenge 2018. The competition, organized by Spotify, focuses on the probl…