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pento-image-rendering-fix
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@@ -85,7 +85,7 @@ Let us clarify that clearly we don't have to use the entire user history, we can
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Not all tastes carry the same weight, especially over time. A cluster of artworks a user connected with months ago may no longer reflect their current preferences. To account for this, we assign a recency-aware score to each cluster, emphasizing freshness without discarding history.
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Each cluster is scored based on the timestamps of the interactions it contains, using an exponential decay function:
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Where:
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* wi is the normalized rating calculated before
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