How to build a Recommendation Engine quick and simple

This article is meant to be a light introduction to the topic and provide the first steps to get you into production with a recommendation engine in a week. I will also tell you what the steps are to go from basics to fairly advanced. We won’t tab into the cutting edge yet but we won’t be far off either. Watch this space for part 2.

Recommendation systems are everywhere and for many online platforms their recommendation engines are the actual business. That’s what made Amazon big: they were very good at recommending you which books to read. There are many other companies which are all build around recommendation systems: YouTube, Netflix, Spotify, Social Media platforms. In parallel, consumers came to expect a personalised experience and sophisticated recommendation systems to find relevant products and content, all to save consumers time and money.

Read more: https://towardsdatascience.com/how-to-build-a-recommendation-engine-quick-and-simple-aec8c71a823e

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