CIKM Related Work Architect
Structures comprehensive related work sections for CIKM submissions across information retrieval, data mining, and knowledge management literature.
The CIKM Related Work skill guides researchers in crafting robust literature reviews tailored specifically for the ACM International Conference on Information and Knowledge Management (CIKM). By balancing three distinct fronts—retrieval, mining, and database/knowledge management—this skill helps authors write impactful boundary-work paragraphs, prevent embarrassing venue misattributions (distinguishing CIKM milestones from KDD, SIGIR, and ICDM classics), ensure modern baseline recency, and maintain compliance with dual-submission and preprint citation guidelines.
主な機能
01Boundary-work paragraph structuring for multi-disciplinary contribution positioning
02Three-front literature synthesis balancing IR, data mining, and knowledge management lineages
03Venue misattribution auditing against DBLP milestones to prevent reviewer credibility penalties
04Recency floor checks ensuring modern baselines across fast-evolving domains like neural retrieval
051,074 GitHub stars
06Preprint declaration and citation hygiene guidance under CIKM dual-submission rules
ユースケース
01Auditing citations to ensure classic papers are attributed to CIKM versus KDD, SIGIR, or ICDM
02Refining contribution statements and novelty claims to survive adversarial peer review
03Positioning a cross-disciplinary AI/data paper across retrieval, mining, and KM review pools