Skill UI

A comprehensive guide detailing the workflow for converting an accepted academic manuscript into its final, archival format for major digital libraries (e.g., ACM Digital Library). It covers critical steps including completing e-rights forms, de-anonymizing content, verifying CCS concepts and keywords, managing metadata, and troubleshooting common production pitfalls to ensure successful publication.

This guide provides a comprehensive framework for designing rigorous and defensible evaluation sections for machine learning and information retrieval papers, particularly for top-tier conferences like WSDM. It covers the four critical evidence quadrants—Effectiveness, Validity, Efficiency, and Robustness—and details necessary protocols, such as temporal splits, proper baseline selection (including heuristics), ablation studies, and hardware-aware performance reporting. Use this when auditing or writing the experimental section of a research paper.

This guide teaches researchers how to strategically position a paper's contribution within established academic lineages (e.g., click models, LTR). It emphasizes moving beyond simple citation coverage to writing precise 'contrast sentences' that articulate the technical delta, ensuring the work's novelty is clearly defined relative to neighboring venues like SIGIR and KDD. Ideal for authors refining their technical writing for top-tier conferences.

A comprehensive framework for ensuring reproducibility in Web Search and Data Mining (WSDM) research. It addresses unique challenges associated with behavioral data, covering data provenance, temporal splitting discipline, bias assumption reporting, statistical rigor (seeds, variance), and the 'honesty ladder' for non-reproducible results, helping researchers publish robust and verifiable work.

A comprehensive guide detailing the rigorous, multi-stage academic review process for top-tier data mining conferences (e.g., WSDM). It analyzes the hybrid single/double-blind architecture, the impact of no rebuttal phase, and the distinct perspectives of academic and industry reviewers. Use this guide to understand the requirements for writing and structuring submissions that maximize acceptance chances.

A comprehensive guide for auditing research papers submitted to the WSDM conference. It details critical constraints, including the no-rebuttal policy, strict 9-page budgets (including appendices), and stringent hybrid anonymization requirements. Use this guide to preemptively identify and correct submission flaws before the deadline.

A comprehensive guide for allocating content across academic conference submissions, ensuring critical evidence is visible within strict page limits. It defines rules for triaging material into decisive (body), supporting (appendix/repo), and archival (repository) categories, along with advanced compression tactics for tables and proofs.

A comprehensive guide for researchers to evaluate if their project aligns with the niche scope of WSDM. It details the 'two-gate test' (web/social data focus and practical/principled approach) and provides a routing table to help authors determine the most appropriate conference venue (e.g., SIGIR, KDD, RecSys) for their work.

This comprehensive guide outlines the annual workflow for submitting research papers to major AI/NLP conferences, such as WSDM. It details critical milestones, including abstract deadlines, paper submission, conference logistics, and strategies for alternative tracks (short papers, demos). It is essential for researchers managing their academic publication timeline and coordinating with neighboring venues.

This guide provides detailed stylistic advice for authors submitting papers to WSDM. It emphasizes structuring work around observed user and web behaviors, adopting a self-contained voice that preemptively addresses reviewer objections, and ensuring technical precision in all sections, including ethics and limitations. It transforms raw research into a publication-ready, principle-grounded narrative.

This skill guides the construction of complex legal arguments, adhering to the standard persuasive arc: doctrine → theory → normative. It ensures the writing systematically moves from mapping existing law (the problem) to developing a conceptual framework (the why) and finally proposing actionable reforms (the fix). It is essential for building a rigorous, logical, and comprehensive academic argument.

This skill performs a rigorous audit of legal journal footnotes, verifying the existence, pinpoint accuracy, Bluebook formatting, and direct textual support for every citation. It is essential for manuscript preparation, particularly before a source-pull audit, ensuring the piece survives scholarly review without citation errors or integrity issues.