2024/05/02 - 3 new api methods
Changes This releases ability to delete users and their data, including their metadata and interactions data, from a dataset group.
2024/04/19 - 8 updated api methods
Changes This releases auto training capability while creating a solution and automatically syncing latest solution versions when creating/updating a campaign
2023/11/27 - 11 updated api methods
Changes Enables metadata in recommendations, recommendations with themes, and next best action recommendations
2023/07/13 - 1 new 1 updated api methods
Changes This release provides ability to customers to change schema associated with their datasets in Amazon Personalize
2023/05/30 - 7 updated api methods
Changes This release provides support for the exclusion of certain columns for training when creating a solution and creating or updating a recommender with Amazon Personalize.
2022/11/17 - 6 new 5 updated api methods
Changes This release provides support for creation and use of metric attributions in AWS Personalize
2022/08/02 - 3 updated api methods
Changes This release adds support for incremental bulk ingestion for the Personalize CreateDatasetImportJob API.
2022/05/23 - 1 updated api methods
Changes Adding modelMetrics as part of DescribeRecommender API response for Personalize.
2022/04/19 - 2 new api methods
Changes Adding StartRecommender and StopRecommender APIs for Personalize.
2022/04/07 - 3 new 12 updated api methods
Changes This release provides tagging support in AWS Personalize.
2022/02/02 - 4 updated api methods
Changes Adding minRecommendationRequestsPerSecond attribute to recommender APIs.
2021/11/29 - 8 new 7 updated api methods
Changes This release adds API support for Recommenders and BatchSegmentJobs.
2021/05/20 - 1 new api methods
Changes Added new API to stop a solution version creation that is pending or in progress for Amazon Personalize
2021/05/18 - 3 updated api methods
Changes Amazon Personalize now supports the ability to optimize a solution for a custom objective in addition to maximizing relevance.
2021/04/26 - 3 new api methods
Changes Added support for exporting data imported into an Amazon Personalize dataset to a specified data source (Amazon S3 bucket).
2020/08/06 - 5 updated api methods
Changes Add 'exploration' functionality
2020/06/05 - 4 new 2 updated api methods
Changes [Personalize] Adds ability to create and apply filters.
2020/03/18 - 2 updated api methods
Changes [Personalize] Adds support for returning hyperparameter values of the best performing model in a HPO job.
2019/11/14 - 3 new api methods
Changes Amazon Personalize: Adds ability to get batch recommendations by creating a batch inference job.
2019/10/14 - 2 updated api methods
Changes AWS Personalize: Adds ability to create a solution version using FULL or UPDATE training mode
2019/09/17 - 1 updated api methods
Changes [Personalize] Adds trainingHours to solutionVersion properties.
2019/06/10 - 36 new api methods
Changes Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.