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.

Computer Vision

A field of artificial intelligence (AI), computer vision enables digital systems to process, analyze, and make sense of visual data in the same way that humans do. Computer vision uses deep learning and convolutional neural networks (CNN) to derive meaningful information from digital images, videos, and other visual input, and take actions or make recommendations based on that information. A computer vision system uses large amounts of data that is analyzed over and over until it discerns distinctions and ultimately recognizes images. Computer vision is transforming ecommerce as it can identify products along with their characteristics such as color, size, shape, texture, print, and style.