CIKM Topic Selection
Evaluates research paper fit, track routing, and competitive venue positioning for ACM CIKM across information retrieval, data mining, and knowledge management.
The CIKM Topic Selection skill provides structured, domain-specific decision frameworks for academic researchers targeting ACM CIKM. It evaluates tri-community alignment across Information Retrieval (IR), Data Mining, and Knowledge Management (KM/DB), contrasting CIKM against specialized sibling venues like SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, and ISWC. The skill assesses multi-lane contributions, performs vocabulary sanity checks on abstracts, helps select among CIKM's five distinct tracks (Full, Short, Applied, Resource, Demo), and optimizes submission timing and paper framing before writing begins.