Individual skill
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-evidence framing.
WSDM-Skills/skills/wsdm-experiments/SKILL.md
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# WSDM Experiments
Design an evaluation that survives WSDM's mixed academic-industry PC with no
rebuttal to patch holes. The venue's evaluation culture is specific: reviewers
assume interaction data is biased until you control for it, assume random
splits leak until you say "temporal," and assume unnamed baselines were chosen
to lose. Build the section so each assumption meets its answer.
## The evidence quadrants
Cover the four questions every strong WSDM evaluation answers; weak papers
usually max one quadrant and ignore two:
| Quadrant | Question | Typical instruments |