OpenSearch is open source software that offers an array of tools for search, data analytics, security monitoring, and observability applications. Amazon OpenSearch Service, powered by OpenSearch, simplifies the deployment, scaling, and operation of OpenSearch in the AWS Cloud.
OpenSearch uses the BM-25 framework to calculate relevance scores, but this doesn’t consider user behavior data like clicks or purchases. Improving search functionality enhances the user experience and engagement on any website or app. High-intent search traffic is known for better conversion rates. So, by using interaction data like clicks, likes, and purchases, businesses can improve search relevancy to make the most of this high-intent traffic.
Amazon Personalize is a service that enables sophisticated personalization capabilities in applications using machine learning technology. It analyzes user data and trains a custom machine learning model which is then used to generate personalized recommendations.
The new Amazon Personalized Search Plugin for Amazon OpenSearch Service enhances search results using user history and interests. This article gives a comprehensive guide on how to integrate the Amazon Personalize Search Ranking plugin with OpenSearch Service for personalized search results.
The process uses a sample dataset from IMDb and the MovieLens dataset for the setup. It then creates an Amazon Personalize campaign and a customized search pipeline that utilizes Amazon Personalize for the re-ranking search results in the query response.
The search results are tested using the Amazon Personalize Search Ranking plugin and the standard results are compared. The results showed more relevant search outcomes when the plugin was used for the same query compared to when it was not used.
Cleaning up of the resources involved and used in the process is also detailed in the article.
In conclusion, the Amazon Personalize Search Ranking plugin is a robust tool to enhance the relevance and engagement of the OpenSearch Service search results. It elevates the user experience by delivering personalized results that resonate with individual user preferences.
