WSDM Topic Selection
Evaluates research paper fit for ACM WSDM and routes submissions against neighboring venues like SIGIR, KDD, WWW, and RecSys.
WSDM Topic Selection evaluates academic research projects against the strict scope and selectivity requirements of ACM WSDM (Web Search and Data Mining). It runs projects through a two-gate test checking for genuine web/social interaction data focus and balanced practical-yet-principled methodology. The skill provides clear routing recommendations between WSDM, SIGIR, KDD, WWW, CIKM, RecSys, ICWSM, and core ML conferences, assesses foundation model relevance, and guides long-versus-short track selection to maximize acceptance chances.
Key Features
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02Two-gate qualification test checking web/social-data core and practical-yet-principled methodology
03Venue routing matrix comparing fit against SIGIR, KDD, WWW, CIKM, RecSys, and ICWSM
04Track selection guidance for long, short, demo, or workshop tracks based on experimental depth
05Foundation model scope check for search, recommendation, and agentic AI integration
06Structured diagnostic output with venue tie-breaker analysis and confidence scoring
Use Cases
01Routing ML and LLM research to the right academic venue among WSDM, SIGIR, KDD, and NeurIPS
02Determining whether an information retrieval or data mining manuscript aligns with WSDM before drafting
03Deciding between long-track and short-track submission formats based on experimental depth