the-web-conference

star 39

Use when targeting The Web Conference (WWW) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for web and AI.

brycewang-stanford By brycewang-stanford schedule Updated 6/10/2026

name: the-web-conference description: Use when targeting The Web Conference (WWW) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for web and AI.

The Web Conference (WWW)

Conference positioning

The Web Conference (WWW) is a top computer-science conference venue for web systems, web mining, social platforms, search, recommendation, web economics, and responsible web AI. It rewards a web-scale paper whose contribution depends on open-web data, user behavior, or platform structure. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

  • The author names WWW / The Web Conference as the target venue.
  • A manuscript in web systems needs a conference-fit read before being formatted or submitted.
  • The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
  • The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

  • Core fit: web systems, web mining, social platforms, search, recommendation, web economics, and responsible web AI.
  • Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
  • The paper should explain why the result matters to WWW's reviewers, not just why it is interesting to the authors' lab or product context.
  • Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
  • If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

  • Reviewer lens: Treat WWW as a web and AI venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
  • Contribution hook to foreground: the venue-specific contribution bar.
  • Scope vocabulary to use naturally in the abstract and introduction: web systems, web mining, social platforms, search, recommendation, web economics, and responsible web AI.
  • Distinctive fingerprint for reviewer calibration: mining, social, platforms, search, recommendation, economics, responsible, venue-specific, contribution, www2026, thewebconf.
  • Official anchor domain: www2026.thewebconf.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

  • Use this profile only when the manuscript's central contribution is genuinely in web and AI and the author can say why WWW reviewers are the primary audience, not merely a convenient deadline.
  • Closest roster neighbors to compare before final routing: european-conference-on-machine- learning-and-principles-and-practice-of-knowledge-discovery (ECML PKDD), asian-conference- on-machine-learning (ACML), acm-international-conference-on-web-search-and-data-mining (WSDM), acm-international-conference-on-information-and-knowledge-management (CIKM). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from www2026.thewebconf.org.

Method & evidence bar

  • Compare against current strong baselines and explain exactly what changes in the algorithm, objective, data, or inference procedure.
  • Report ablations that isolate the claimed mechanism; do not rely on aggregate benchmark wins alone.
  • Document data, compute, hyperparameters, model selection, and failure cases so the result can be reviewed as science rather than demo output.
  • For WWW, the evidence must support the venue-specific signature: a web-scale paper whose contribution depends on open-web data, user behavior, or platform structure.
  • Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

  • Frame the contribution as a reusable idea: method, theory, benchmark, dataset, system, or socio-technical finding.
  • Separate main claims from exploratory results; reviewers at top AI venues punish overclaiming and hidden cherry-picking.
  • Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
  • The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
  • Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

  • Open the live official venue page: https://www2026.thewebconf.org/
  • Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
  • Confirm the review workflow and portal: OpenReview / CMT / HotCRP / PCS / START or society portal, as specified for the current cycle.
  • Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this manuscript belongs at WWW, using the venue's scope rather than generic "top conference" language.
  • The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
  • Related work includes the nearest current-cycle web and AI papers and explains the technical delta.
  • The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
  • The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

  • Leaderboard-only novelty with weak explanation of why the method works.
  • Unclear data contamination, missing baselines, or evaluation that cannot be reproduced.
  • Claims about safety, fairness, health, or society without matching evidence and limitations.
  • Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
  • A contribution framed for a neighboring field while giving WWW reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses WWW's bar, compare against neural-information-processing-systems / international-conference-on-machine-learning / international-conference-on-learning-representations / aaai-conference-on-artificial-intelligence. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] The Web Conference (WWW)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>
Install via CLI
npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills --skill the-web-conference
Repository Details
star Stars 39
call_split Forks 11
navigation Branch main
article Path SKILL.md
More from Creator
brycewang-stanford
brycewang-stanford Explore all skills →