wsdm-skills

Plugin wsdm-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• wsdm-artifact-evaluation

  Use when packaging code, data, and models as evidence for a WSDM paper - anonymous repositories cited in the PDF, the proprietary-log dilemma of web-scale research, public-benchmark substitution tiers, WSDM Cup datasets, and what credible artifact release looks like at a venue without a formal badge

• wsdm-author-response

  Use when planning author-side communication for WSDM, a venue that historically runs no rebuttal - covers preemptive objection engineering inside the submitted PDF, the narrow legitimate channels to chairs after submission, reading reviews you cannot answer, and converting a rejection into a stronge

• wsdm-camera-ready

  Use when preparing a WSDM camera-ready after acceptance - de-anonymization order, ACM rights and TAPS production into the Digital Library proceedings, CCS concepts and keywords, page-allowance verification, artifact link restoration, and registration/presentation duties at a single-track winter conf

• wsdm-experiments

  Use when designing or auditing the evaluation of a WSDM paper - offline ranking and recommendation metrics with bias controls, temporal-split protocols for interaction logs, baseline selection from recent WSDM/SIGIR/KDD editions, ablations that isolate the mechanism, efficiency reporting, and online

• wsdm-related-work

  Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing th

• wsdm-reproducibility

  Use when hardening the reproducibility of a WSDM paper built on logs, graphs, or user-interaction data - provenance of behavioral datasets, temporal split discipline, click-bias assumptions, seed and variance reporting, privacy-preserving release, and honesty tiers for results no outsider can rerun.

• wsdm-review-process

  Use when reasoning about how WSDM reviews and decides papers - the hybrid single/double-blind architecture with Associate-Chair metadata visibility, at-least-three PC reviews plus senior PC assessment, the absence of a rebuttal phase, the August-to-October window, and what ~17% selectivity at a sing

• wsdm-submission

  Use when auditing a WSDM submission before the August deadlines - EasyChair setup, the abstract-then-paper week, the appendix-inclusive page budget, the required ethical-considerations section, anonymization that survives Associate-Chair metadata visibility, and desk-reject exposure at a no-rebuttal

• wsdm-supplementary

  Use when deciding what goes where in a WSDM submission whose appendices count inside the page cap - triage between the 9-page body, the uncounted references and ethics section, and the cited external repository; compression tactics for proofs, prompts, and hyperparameter tables under WSDM's historic

• wsdm-topic-selection

  Use when deciding whether a project belongs at WSDM or a neighbor - tests for the web/social-data core and the practical-yet-principled bar, scope coverage from web search and recommendation to social networks and responsible web AI, routing against SIGIR, KDD, WWW, CIKM, RecSys, and ICWSM, and long

• wsdm-workflow

  Use when planning the calendar for a WSDM submission - the single annual cycle from August abstract and paper deadlines through October notification to the February conference, backward milestone planning, the September short-paper fallback, alternate entrances (demos, WSDM Cup, doctoral consortium)

• wsdm-writing-style

  Use when drafting or revising prose for a WSDM paper - the practical-yet-principled register, user-and-platform-grounded framing, self-containment writing for a no-rebuttal review, ethical-considerations craft, limitation sentences that protect borderline papers, and compression into the appendix-in

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