Individual skill
recsys-topic-selection
Use when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core contribution is genuinely about recommendation, and choosing the right RecSys track before writing begins.
RecSys-Skills/skills/recsys-topic-selection/SKILL.md
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# RecSys Topic Selection
Use this before writing. RecSys is a **single-domain** venue: it is strongest when the central
claim is about **recommendation** — ranking objectives, user/item modeling, offline/online
evaluation, feedback loops, exposure and fairness, or deployed recommender behavior. Being merely
*applicable* to recommendation is not enough; the contribution has to speak to a recommender
audience.
## Fit test
- Prefer RecSys when the main claim is a recommendation result: a ranking objective, a
user/session model, an evaluation protocol, an off-policy/counterfactual method, a
fairness/diversity/exposure result, or a deployed-system insight.
- Route to **SIGIR** when the core is ad-hoc retrieval, search ranking, or IR evaluation not tied