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Google Tutorial Shows How to Build a Recommendation Engine

The primer showcases Google's machine learning and cloud computing tools.


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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.

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