Step 2: Preparing and importing data - Amazon Personalize
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Step 2: Preparing and importing data

Amazon Personalize uses your data to generate recommendations for your users and user segments. Your data must have at minimum 1,000 interactions for 25 unique users with at least two interactions each. For quality recommendations, we recommend that you have at minimum 50,000 interactions from at least 1,000 users with two or more interactions each.

When you import data, you can choose to import records in bulk, individually, or both.

  • Bulk imports involve importing a large number of historical records at once. You can prepare and import your bulk data with SageMaker Data Wrangler and multiple data sources. Or you can prepare bulk data yourself, and import it directly into Amazon Personalize from a CSV file in Amazon S3.

  • With individual imports, you import individual records with the Amazon Personalize console and API operations. Or you can import interactions data from live events in real time.

After you import data into an Amazon Personalize dataset, you can analyze it, export it to an Amazon S3 bucket, update it, or delete it by deleting the dataset. For more information, see Managing data.

As your catalog grows, update your historical data with additional bulk, or individual data, import operations. For real-time recommendations, keep your Interactions dataset up to date with your users' behavior. You do this by recording real-time interaction events with an event tracker and the PutEvents operation. For more information, see Recording events