Use an asynchronous batch workflow to get recommendations from large datasets that do not require real-time updates. For instance, you might create a batch inference job to get product recommendations for all users on an email list, or to get item-to-item similarities (SIMS) across an item catalog. To get batch recommendations, you can create a batch inference job by calling the CreateBatchInferenceJob API.
The user_personalization_batch_recommendations_example.ipynb
This sample code is made available under a modified MIT license. See the LICENSE file.