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Introduces two new site settings to apply exponential age-based penalties to semantic topic suggestions, similar to algorithms used by Reddit/HN: * ai_embeddings_semantic_related_age_penalty (default: 0.3) Controls penalty strength. 0.0 = disabled, 0.3 = gentle bias toward newer content, 1.0+ = strong recency preference * ai_embeddings_semantic_related_age_time_scale (default: 365 days) Controls time horizon. Use 365 for yearly scale, 90 for quarterly scale, etc. Formula: similarity_score / POWER(age_in_days / time_scale + 1, penalty) This allows sites to de-prioritize older topics in suggestions while maintaining configurability for forums with different content lifecycles. Performance optimized with conditional JOINs only when penalty > 0. "Age" here is using bumped_at to work with communities with long lived mega topics too. --------- Co-authored-by: Penar Musaraj <pmusaraj@gmail.com> |
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