ACM RecSys Conference Submission Guide
Evaluates manuscript fit, framing, and submission readiness for the ACM Conference on Recommender Systems (RecSys).
The ACM RecSys Submission Guide skill equips researchers and data scientists with specialized venue calibration for the ACM Conference on Recommender Systems (RecSys). It analyzes computer science manuscripts against RecSys standards—evaluating offline metric validity, user and platform modeling, leakage-aware evaluation, and baseline rigor. The skill helps identify evidence gaps, re-frame journal or preprint drafts for a selective CS conference audience, navigate rebuttal postures, and spot potential desk-reject triggers before final submission.
Key Features
01Evaluates research paper fit and alignment with ACM RecSys review standards
02Identifies methodological gaps in offline evaluation, ranking metrics, and baselines
03Screens manuscripts for desk-reject triggers like anonymity and reproducibility risks
04Guides rebuttal strategy and framing adjustments for recommender systems papers
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06Provides venue routing advice between RecSys, SIGIR, KDD, and related conferences
Use Cases
01Assessing whether a recommender system manuscript fits ACM RecSys or needs re-routing
02Pre-submission self-audits to identify missing baseline comparisons or data leakage issues
03Reframing arXiv preprints or technical reports into concise, peer-review-ready conference papers