cs.IR · 2026-09-16 · No. 115

Information Retrieval, 2026-09-16.

1 new papers in cs.IR. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    AURA: Agentic Diagnosis and Refinement for Production Recommender Systems at Scale

    SungGeun Kim, Abhinav Narain, Daniel Nemirovsky

    cs.IR · cs.AI · cs.LG

    How and why does a recommender system fail the users it serves? Oftentimes, practitioners are left to improve their algorithms based on a combination of feedback from stakeholder teams, domain expertise, and insights from data analyses. Yet the nuances of how and where recommendations perform well or poorly for end users are difficult to discern from aggregate quantitative metrics. Whereas these metrics provide a high-level and incomplete...

    arxiv.org/abs/2609.16625 · PDF

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