algo-rank-bayesian

SKILLFlusso di lavorocommunity
v0.0.0asgard-ai-platformMITAggiornato 2 mesi faFonte →

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 →
225Stelle del repo
1Client
1Formati
2 mesi faUltimo aggiornamento
Skill
Autoreasgard-ai-platform
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

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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