devxlogo

Google Tutorial Shows How to Build a Recommendation Engine

Google Tutorial Shows How to Build a Recommendation Engine

Google has released a new tutorial that shows enterprise application development teams how to build a recommendation engine using Google’s cloud computing and machine learning services. The example is for a house-renting website that suggests houses based on a user’s previous searches and activities, and it provides a template for creating similar tools for other websites. It uses Google’s Cloud Dataproc for Hadoop and Spark data and Google App Engine.

“We hope that this solution will give you the nuts and bolts you need to build an intelligent and ever-improving application that makes the most of the information that your users give you,” blogged Matthieu Mayran, a cloud solutions architect at Google.

View article

See also  20 Real-World Examples of Embedded Systems
devxblackblue

About Our Editorial Process

At DevX, we’re dedicated to tech entrepreneurship. Our team closely follows industry shifts, new products, AI breakthroughs, technology trends, and funding announcements. Articles undergo thorough editing to ensure accuracy and clarity, reflecting DevX’s style and supporting entrepreneurs in the tech sphere.

See our full editorial policy.

About Our Journalist