With your data in BigQuery, machine learning workflows are now easier than ever with BigQuery ML. In this post you’ll learn how to build a product recommendation system in a retail scenario using matrix factorization, and how to use the predicted recommendations to drive marketing activation.

Why are recommendation systems so important?

Photo by rupixen: https://unsplash.com/photos/Q59HmzK38eQ

The majority of consumers today expect personalization — to see products and services relevant to their interests. Naturally, they can help businesses too. By learning from user behaviours and preferences, businesses can deliver their recommendations in a variety of ways, including personalized coupons, marketing emails, and search results, or targeted ads. …

Polong Lin

Developer Advocate for Google Cloud

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