ACM International Conference on Web Search and Data Mining (WSDM)

ACM International Conference on Web Search and Data Mining (WSDM)

Conference positioning

ACM International Conference on Web Search and Data Mining (WSDM) is a top computer-science conference venue for web search, ranking, web mining, social/network data, ads, recommendation, and trustworthy web AI. It rewards a search or web-mining paper with strong retrieval/ranking baselines and platform-aware evaluation. 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 WSDM / ACM International Conference on Web Search and Data Mining as the target venue.
• A manuscript in web search 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 search, ranking, web mining, social/network data, ads, recommendation, and trustworthy 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 WSDM'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 WSDM as a web search and mining 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 search, ranking, web mining, social/network data, ads, recommendation, and trustworthy web AI.
• Distinctive fingerprint for reviewer calibration: search, ranking, mining, social, network, data, recommendation, trustworthy, venue-specific, contribution, wsdm-conference.
• Official anchor domain: www.wsdm-conference.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 search and mining and the author can say why WSDM reviewers are the primary audience, not merely a convenient deadline.
• Closest roster neighbors to compare before final routing: asian-conference-on-machine- learning (ACML), the-web-conference (WWW), acm-international-conference-on-information- and-knowledge-management (CIKM), international-semantic-web-conference (ISWC). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from