algo-rank-bayesian

SKILLWorkflowcommunauté
v0.0.0asgard-ai-platformMITMis à jour il y a 2 moisSource →

Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weight

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
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il y a 2 moisDernière mise à jour
Skill
Auteurasgard-ai-platform
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptNon publié
Compatibilité
Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.

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