Document history for Amazon Personalize
The following table describes important changes in each release of the Amazon Personalize Developer Guide. For notification about updates to this documentation, you can subscribe to an RSS feed.
| Change | Description | Date |
|---|---|---|
New documentation feature | With page view data and depth analysis, the structure of the Amazon Personalize developer guide is updated to increase visibility of important topics. The navigation was updated to reduce overall depth and related topics were consolidated. For example, you can now find all data prep guidance in a Preparing training data for Amazon Personalize topic. For a topic that can help you navigate the new structure, see Amazon Personalize workflow details. This page maps each step of the Amazon Personalize workflow to its associated topic in the guide. | September 3, 2024 |
New feature | You can now update an existing Amazon Personalize custom solution to change its training configuration. You can turn automatic training on or off, and you can change the training frequency. For more information, see Updating a solution to change its automatic training configuration. | August 29, 2024 |
New documentation feature | The Personalizing search results from OpenSearch topic in the Amazon Personalize developer guide is reorganized by OpenSearch Service and open source OpenSearch workflows. It now features new sub topics: Personalizing results from Amazon OpenSearch Service with Amazon Personalize and Personalizing results from open source Open Search with Amazon Personalize. | August 23, 2024 |
New feature | Amazon Personalize now supports the ability to delete users and their data, including their metadata and interactions data, from a dataset group. For more information, see Deleting users. | May 2, 2024 |
New feature | Amazon Personalize can now consider up to 5 million items with faster training, lower recommendation latency, and more relevant recommendations. Two new custom recipes use this enhanced training, User-Personalization-v2 and Personalized-Ranking-v2. | May 1, 2024 |
New feature | All new Amazon Personalize custom solutions now use automatic training. For more information about configuring automatic training, see Configuring automatic training. | April 19, 2024 |
New feature | Amazon Personalize now supports the ability to recommend the next best action for a user based on their behavior. For more information, see Next-Best-Action recipe. | November 26, 2023 |
New feature | Amazon Personalize now supports the ability to include descriptive themes in batch recommendations with the help of generative AI. For information about generating batch recommendations with themes, see Batch recommendations with themes. For information about using Amazon Personalize with generative AI, see Amazon Personalize and generative AI. | November 26, 2023 |
New feature | Amazon Personalize now supports the ability to include metadata from an Items dataset in recommendations. For information about enabling metadata for a campaign, see Item metadata in recommendations. For information about enabling metadata for a recommender, see Enabling metadata in recommendations for a recommender. | November 26, 2023 |
New feature | Amazon Personalize now supports the ability to personalize search results from OpenSearch Service. For more information, see Personalizing search results from OpenSearch. | October 16, 2023 |
New feature | Amazon Personalize now supports the ability to import up to 100 metadata columns for Items datasets (up from 50) and 25 metadata columns for Users datasets (up from 5). For more information about Amazon Personalize limits, see Amazon Personalize endpoints and quotas. | September 5, 2023 |
New feature | Amazon Personalize now supports the ability to personalize search results from OpenSearch. For more information, see Personalizing search results from OpenSearch (self-managed). | July 25, 2023 |
New feature | Amazon Personalize now supports the ability to replace a dataset's schema with a new or existing one. For more information, see Replacing a dataset's schema. | July 13, 2023 |
New feature | If you use the User-Personalization or Personalized-Ranking recipes, Amazon Personalize batch inference jobs can now use data that you import incrementally without retraining. For information, see Getting batch recommendations. | June 30, 2023 |
New feature | Amazon Personalize now supports the ability to filter items based on the item you specify in your request for related items recommendations. For information about filters, see Filtering recommendations and user segments. | June 21, 2023 |
New feature | Amazon Personalize now supports the ability to filter items based on the item you specify in your request for related items recommendations. For information about filters, see Filtering recommendations and user segments. | June 21, 2023 |
New feature | Amazon Personalize now supports private connections between a virtual private cloud (VPC) and Amazon Personalize with an interface Amazon VPC endpoint. For more information, see Amazon Personalize and interface VPC endpoints (Amazon PrivateLink). | June 12, 2023 |
New feature | Amazon Personalize now supports configuring the columns used when training when you create a recommender or custom solution. For information about configuring columns when creating a recommender, see Creating recommenders. For information about configuring columns when creating a solution, see Configuring columns used when training. | May 30, 2023 |
New documentation feature | The Amazon Personalize developer guide now includes information about performing A/B testing with Amazon Personalize recommendations. For more information, see Measuring recommendation impact with A/B testing. | May 5, 2023 |
New feature | Amazon Personalize now supports configuring how popularity influences recommendations generated by the Similar-Items recipe. For more information, see Similar Items recipe. | April 21, 2023 |
New feature | Amazon Personalize now supports using Amazon SageMaker Data Wrangler to import data from 40+ sources into Amazon Personalize datasets. For more information, see Importing data using Amazon SageMaker Data Wrangler. | April 14, 2023 |
New documentation feature | The Amazon Personalize developer guide now includes a new readiness checklist. This checklist helps you prepare to use Amazon Personalize with your own data. For more information, see Readiness checklist. | February 9, 2023 |
New feature | Amazon Personalize now supports generating insights and statistics for data that you import into datasets. For more information, see Analyzing data in datasets. | January 25, 2023 |
New feature | Amazon Personalize now supports a new Trending-Now recipe for Custom dataset groups. For more information, see Trending-Now recipe. | January 6, 2023 |
New feature | Amazon Personalize now supports using tags in IAM policies. For more information, see Using tags in IAM policies. | December 28, 2022 |
New feature | Amazon Personalize now supports making adjustments to the Maximum number of interactions that are considered by a model during training quota. Additionally, the Maximum number of users that are considered by a model during training limit quota no longer applies. For more information, see Amazon Personalize endpoints and quotas. | December 15, 2022 |
New feature | Amazon Personalize now supports creating a metric attribution to measure the business impact of recommendations. For more information, see Measuring impact of recommendations. | November 17, 2022 |
New feature | Amazon Personalize quotas for total number of active solutions, active campaigns, recommenders, and filters have now increased. Each of these quotas now apply per dataset group rather than per account. For information about quotas, see Amazon Personalize endpoints and quotas. | September 7, 2022 |
New feature | Amazon Personalize filters now consider up to 100 interactions per user per event type. For information about filters, see Filtering recommendations and user segments. | August 29, 2022 |
New feature | Amazon Personalize now supports a new Trending now use case for the VIDEO_ON_DEMAND domain. For more information, see VIDEO_ON_DEMAND use cases. | August 17, 2022 |
New feature | Amazon Personalize now supports promoting items in recommendations with a separate promotion filter. For information about promoting items see Promoting items in recommendations. | August 12, 2022 |
New feature | Amazon Personalize now supports using comparison operators in filter expressions with placeholder parameters. For information about filter expressions, see Filter expressions. | August 12, 2022 |
New feature | Amazon Personalize now supports incremental bulk updates to datasets. You can now use a dataset import job to update a dataset without replacing the existing data. For more information, see Updating existing bulk data. | August 2, 2022 |
New feature | Amazon Personalize can now use unstructured text metadata in different languages. For more information, see Unstructured text metadata. | June 6, 2022 |
New feature | Amazon Personalize recommenders now generate offline metrics. You can use these metrics to evaluate the performance of your recommender. For more information, see Evaluating a recommender. | May 24, 2022 |
New feature | Amazon Personalize now supports the ability stop a recommender and restart it later. This way, you can pause recommender billing and pay for it only when you use it. For more information, see Stopping and starting a recommender. | April 20, 2022 |
New feature | Amazon Personalize now supports using tags to categorize and manage Amazon Personalize resources. For more information, see Tagging Amazon Personalize resources. | April 7, 2022 |
New feature | Amazon Personalize now supports specifying resources with Amazon CloudFormation. For more information, see Specifying resources with Amazon CloudFormation. | March 11, 2022 |
New documentation feature | The Amazon Personalize developer guide now includes a new Troubleshooting topic that provides answers to common questions and troubleshooting advice for error messages that you might encounter with Amazon Personalize. For more information, see Troubleshooting. | February 15, 2022 |
New feature | Amazon Personalize now supports creating a Domain dataset group with use case optimized resources for video on demand or e-commerce domains. For more information, see Domain dataset groups. | November 29, 2021 |
New feature | Amazon Personalize now supports creating user segments with new USER_SEGMENTATION recipes. USER_SEGMENTATION recipes generate segments of users based on item input data. For more information, see USER_SEGMENTATION recipes. | November 29, 2021 |
New feature | Amazon Personalize now supports a new RELATED_ITEMS recommendation recipe Similar-Items. Use the Similar-Items recipe to generate recommendations for similar items based on both interactions data and item metadata. For more information, see Similar Items recipe. | October 5, 2021 |
New documentation feature | The Amazon Personalize developer guide now includes a getting started tutorial for using Amazon Personalize with the SDK for Java 2.x. For more information, see Getting started (SDK for Java 2.x). | August 25, 2021 |
New feature | Amazon Personalize can now extract meaningful information from unstructured text metadata in an Items dataset. For more information, see Items dataset. | June 9, 2021 |
New feature | Amazon Personalize now supports the ability to stop creating a solution version (stop training a model). For more information, see Stopping the creation of a solution version. | May 20, 2021 |
New feature (preview release) | Amazon Personalize can now optimize a solution for an objective in addition to maximizing relevance, such as maximizing revenue. This feature is in preview release. For more information, see Optimizing a solution for an additional objective. | May 18, 2021 |
New feature | Amazon Personalize can now export the records in an Amazon Personalize dataset to an Amazon S3 bucket for analysis and tracking. For more information, see Exporting a dataset. | April 26, 2021 |
New feature | Amazon Personalize now automatically updates the latest model (solution version) you trained with User-Personalization every two hours to include new data. For more information, see User-personalization recipe. | November 17, 2020 |
New feature | Amazon Personalize can now filter recommendations based on criteria you specify when you get recommendations. For more information, see Filtering recommendations. | November 10, 2020 |
New feature | Amazon Personalize now supports the ability to incrementally import users and items. For more information, see Importing records incrementally. | October 2, 2020 |
New feature | Amazon Personalize now supports a new USER_PERSONALIZATION recommendation recipe. USER_PERSONALIZATION features include modeling impression data, automatic item exploration, and automatic cold item selection. For more information, see User-personalization recipe. | August 5, 2020 |
New feature | Amazon Personalize can now filter recommendations based on item and user metadata using custom filter expressions. For more information, see Filtering recommendations. | July 31, 2020 |
New feature | Amazon Personalize now allows you to filter results based on which items a user has interacted with. For more information, see Filtering recommendations. | June 3, 2020 |
New feature | Amazon Personalize now exposes scores for recommended items. Scores represent the Amazon Personalize model's certainty that a user will next choose a certain item. For more information, see Getting recommendations. | April 3, 2020 |
New Region | Amazon Personalize adds support for the Asia Pacific (Seoul) Region. For a complete list of the
Amazon Regions supported by Amazon Personalize, see the Amazon Region table | January 21, 2020 |
New feature | Amazon Personalize can now get recommendations based on contextual metadata. For more information, see Getting recommendations. | December 19, 2019 |
New regions | Amazon Personalize adds support for the Asia Pacific (Mumbai), Asia Pacific (Sydney), and Canada
(Central) Regions. For a complete list of the Amazon Regions supported by Amazon Personalize, see the
Amazon Region table | December 18, 2019 |
New feature | Amazon Personalize now supports batch recommendation workflows. For more information, see Get batch recommendations. | November 14, 2019 |
Amazon Personalize general availability | Amazon Personalize is now available for general use. | June 10, 2019 |
Amazon Personalize preview release | This is the first preview release of the documentation for Amazon Personalize. | November 28, 2018 |