RecSys Writing Style

Use this when revising the main paper. RecSys papers need a compact statement of why a recommendation result matters and enough evaluation detail to survive a reproducibility-minded reviewer.

Revision rules

• Put the recommendation contribution on the first page: problem, gap, method, offline evidence, and the offline-to-deployment bridge.
• Make the evaluation protocol explicit early: the split (temporal vs random), whether metrics are full-ranking or sampled, and that baselines are tuned under an equal budget.
• Pair every empirical claim with a table, an ablation, or an off-policy/A-B result — not with a superlative.
• Use the 8-page body for core logic; move tuning grids, extra datasets, and per-dataset breakdowns to the appendix (which counts inside the budget) without making the body unreadable.
• Avoid leaderboard framing ("state of the art," "outperforms all baselines") when the gain is small, the variance unreported, or the baselines under-tuned.
• Maintain double-blind style in self-citations, platform names, acknowledgements, funding, and the repository description.

Claim-discipline for recommender papers

• State the split protocol in words, not just in a config: "we use a temporal leave-one-last split" pre-empts the leakage objection.
• Say the baselines were tuned with the same budget as the method; this one sentence defuses the field's central reproducibility complaint.
• When an offline metric is the only evidence, scope the claim to offline; do not let "nDCG rose" masquerade as "users are better served."
• Report variance (mean ± sd over seeds), and in captions say whether bars are sd, confidence intervals, or quantiles.
• Label beyond-accuracy goals (diversity, fairness, exposure) as measured quantities, not asserted virtues.

Sentence-level rewrites

Vignette: compressing into eight two-column pages

A draft with a model, five datasets, and a sprawling related-work section: keep the method, the assumption, the headline tuned table, one mechanism ablation, and the offline-online bridge in the body; compress related work into contribution contrasts; move the tuning grid, two datasets, and per-dataset breakdowns to the appendix with explicit forward references. The test of a good cut: a reviewer should reconstruct the whole argument, including how the baselines were tuned, without opening the repository.

Output format

[Writing diagnosis] clear / under-justified / overclaimed / leakage-ambiguous
[First-page fix] <new recommendation-first framing>
[Claim discipline] <claim -> table / ablation / off-policy result / scoped limitation>
[Evaluation wording] <split protocol / metric type / tuning-budget statement>
[Compression cuts] <move / delete / merge>
[Anonymity edits] <phrases to rewrite>