Case Study: Coolinarika achieves smarter recipe discovery with Human's Taste Machine

A Human Case Study

Preview of the Coolinarika Case Study

Coolinarika makes 200,000 recipes easier to navigate with Human

The customer, Coolinarika, the largest regional cooking destination, faced the challenge of users struggling to navigate its vast database of over 200,000 recipes. Human was engaged to reimagine the user experience and develop a smarter, more personalized system to help foodies find content quickly.

Human developed and implemented a smart, learning algorithm named Taste Machine. This solution personalizes the user experience by analyzing individual habits and preferences, making recipe discovery faster and more relevant. The result was an evolution of Coolinarika into a go-to culinary assistant that becomes wiser with each use, significantly enhancing the user experience.


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