Personalization Glossary

At PSYKHE, we're obsessed with the why: Why do we like the things we like? Why does one person like a pair of shoes, a sofa, a travel destination, or a song, while someone else does not? Understanding all the factors that drive individual taste, including personality and psychographic data, enables us to create the world's most sophisticated recommendation engine. After all, you can't personalize without personality. Shaping a stellar recommendation strategy is a big job, so to help you grasp what a complete AI personalization blueprint for your business entails, we've collated definitions related to personalization here.

Machine Learning

A branch of artificial intelligence (AI), machine learning uses a vast amount of data to find patterns that enable computers to learn the way that a human would, without explicitly being programmed. Machine learning is rooted in the idea that a system can learn from data, identify patterns and make decisions with minimal human input. Machine learning allows software applications to become more accurate at predicting a variety of outcomes. Currently used in many applications, machine learning is the driving force of everything from recommendation engines, websites that make personalized recommendations and personalized product recommendations, to banking software, fraud detection, speech recognition, and computer vision.