2020-04-21 19:24:33 +02:00
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title: Top Packages Algorithm
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2020-04-30 23:41:55 +02:00
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## Score
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2020-07-09 05:32:13 +02:00
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A package's score is currently equal to a pseudo rolling average of downloads,
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plus the sum of review scores.
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A review score is 100 if positive, -100 if negative.
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score = avg_downloads + Σ 100 * (positive ? 1 : -1)
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2020-04-30 23:41:55 +02:00
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## Pseudo rolling average of downloads
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2020-04-21 19:24:33 +02:00
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2020-05-30 16:32:50 +02:00
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Every package loses 5% of its score every day, and will gain 1 score for each
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unique download.
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2020-04-21 19:24:33 +02:00
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2020-04-30 23:41:55 +02:00
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This metric aims to be roughly equivalent to the average downloads.
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2020-04-21 19:24:33 +02:00
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2020-04-21 20:18:06 +02:00
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## Seeded using a legacy heuristic
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2020-04-21 19:24:33 +02:00
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The scoring system was seeded (ie: the scores were initially set to) 20% of an
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arbitrary legacy heuristic that was previously used to rank packages.
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This legacy heuristic is as follows:
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forum_score = views / max(years_since_creation, 2 weeks) + 80*clamp(months, 0.5, 6)
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forum_bonus = views + posts
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multiplier = 1
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if no screenshot:
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multiplier *= 0.8
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score = multiplier * (max(downloads, forum_score * 0.6) + forum_bonus)
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As said, this legacy score is no longer used when ranking mods.
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It was only used to provide an initial score for the rolling average,
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which was 20% of the above value.
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2020-04-30 23:41:55 +02:00
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## Manual adjustments
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The admin occasionally reduces all packages by a set percentage to speed up
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2020-07-09 05:32:13 +02:00
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convergence. Convergence is when the pseudo-rolling average matches the actual
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rolling average - the effect of the legacy heuristic is gone.
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2020-04-30 23:41:55 +02:00
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2020-04-21 19:24:33 +02:00
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## Transparency and Feedback
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2020-04-30 23:41:55 +02:00
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You can see all scores using the [scores REST API](/api/scores/), or by
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using the [Prometheus metrics](/help/metrics/) endpoint.
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2020-04-21 19:24:33 +02:00
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Consider [suggesting improvements](https://github.com/minetest/contentdb/issues/new?assignees=&labels=Policy&template=policy.md&title=).
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