Personalize search results with Amazon Personalize and Amazon OpenSearch service integration

Amazon Personalize is excited to launch a new integration with Amazon OpenSearch Service that enables customers to personalize search results for each user and improve the user engagement from their search. The Amazon Personalize Search Ranking plugin within Amazon OpenSearch Service helps customers leverage the deep learning capabilities offered by Amazon Personalize and add personalization to OpenSearch search results, without any ML expertise.

Search is crucial in engaging users as it brings high-intent traffic from individuals seeking specific products. Previously, customers found it hard to provide relevant search results to their users due to lack of ML expertise or infrastructure limitations. This led to increased instances of users failing to find the items they were searching for. With this new launch, customers can re-rank relevant items in a specific user's search results based on their interests, context, and past interactions in real-time. Customers can also adjust the level of personalization for each search query based on their needs, which supports flexibility and enables them to have greater control over their end-user search experience.

To get started, simply setup an OpenSearch domain, then setup Amazon Personalize campaign with ‘Personalized-Ranking’ recipe. Next, associate the Amazon Personalize Search Ranking plugin with your domain, and finally configure the plugin. You can also use OpenSearch dashboard to compare your search results. To learn more, visit our documentation.

Amazon Personalize enables you to personalize your website, app, ads, emails, and more, using the same machine learning technology used by Amazon, without requiring any prior machine learning experience. To get started with Amazon Personalize, visit our documentation.