algo-rank-wilson
Wilson Score Ranking
Overview
Wilson Score interval provides a lower confidence bound on the true proportion of positive ratings. Unlike simple averages, it penalizes items with few ratings, preventing a 5/5 review item (1 review) from outranking a 4.8/5 item (1000 reviews). Computes in O(1) per item.
When to Use
Trigger conditions:
- Ranking items by user ratings when review counts vary widely
- Building "top rated" or "best of" lists that are fair to well-reviewed items
- Sorting binary feedback (upvote/downvote) with confidence
When NOT to use:
- For continuous scores (use Bayesian average instead)
- When comparing items with similar sample sizes (simple average suffices)
Algorithm
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