Individual skill

recsys-related-work

Use when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique line, arXiv and prior versions, concurrent work, ACM Digital Library archival status, and the citation coverage RecSys reviewers expect across recommendation subfields.

RecSys-Skills/skills/recsys-related-work/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 1,405
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# RecSys Related Work

Use this to audit novelty and eligibility. Reopen the current Call for Contributions for
dual-submission, anonymity, and prior-publication rules before advising authors.

## Positioning checks

- Separate the **recommendation** contribution from generic ML improvement: a new ranking
  objective, user/item modeling idea, evaluation protocol, off-policy estimator, or empirical
  insight about deployed behavior.
- Cover the recommendation subfields your claim touches: collaborative filtering, sequential/
  session models, off-policy/counterfactual evaluation, fairness/diversity/exposure, and — for any
  empirical claim — the **reproducibility-critique** line.
- Treat ACM Digital Library, journal, and formal conference proceedings as archival unless current