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### Penalty (Time Penalty)
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- **Purpose**: To reduce the influence of older posts by applying a decay based on how long the content has been on the platform.
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- **Formula**: \( \text{timePenalty} = \frac{1}{1 + \log(\text{daysOnPlatform} + \text{offset})} \)
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### Step 1 - Scraping Data
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- Utilizes the CivitAI API with cursor-based pagination to fetch image data over a two-year period.
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- Saves progress in `cursors.txt` to resume scraping from the last retrieved point, avoiding redundant requests.
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- Stores data in timestamped directories, organizing results into manageable batches of 50,000 images per session.
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- Handles API constraints efficiently, with planned improvements for retrying failed requests.
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# Step 2 - Normalizing Engagement Scores
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### Penalty (Time Penalty)
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- **Purpose**: To reduce the influence of older posts by applying a decay based on how long the content has been on the platform.
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- **Formula**: \( \text{timePenalty} = \frac{1}{1 + \log(\text{daysOnPlatform} + \text{offset})} \)
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