Amazon Kendra launches incremental learning

[Amazon Kendra](/kendra/) is a highly accurate and easy to use intelligent search service powered by machine learning. Starting today, Amazon Kendra will use incremental learning to continuously optimize search results based on end-user search patterns and feedback. As unstructured data continues to grow within the enterprise, organizations need adaptive, intelligent, and nimble search solutions, particularly as search patterns and document trends change over time. Amazon Kendra’s incremental learning capabilities enable it to learn how users interact with search results and adapt its models to re-rank information, so the most commonly sought content is presented first. Incremental learning tunes future search results quickly in a way that’s data-driven, and cost effective without the need for customers to train and deploy machine learning models. Learn how incremental learning optimizes search relevance at scale in this [blog post](https://aws.amazon.com/blogs/machine-learning/incremental-learning-optimizing-search-relevance-at-scale-using-machine-learning/). Incremental learning is available in all AWS regions where Amazon Kendra is available. To get started with incremental learning visit the [documentation page](https://docs.aws.amazon.com/kendra/latest/dg/submitting-feedback.html). To learn more about Kendra, visit the [Amazon Kendra website](/kendra/).