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Hi Marcos,
To get different item IDs from Amazon Personalize's getRecommendations, especially using the aws-user-personalization recipe, consider:
- Increasing the diversity of user-item interaction data fed into the model.
- Adjusting exploration settings to introduce new or less popular items.
- Using filters to exclude items already interacted with or seen by the user.
- Regularly updating the model with new data to reflect changing preferences.
- Experimenting with the PersonalizeRanking API for dynamic re-ranking based on current interactions.
These steps can help balance between leveraging known preferences and exploring new recommendations.
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