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.

Image Recognition

A subcategory of computer vision, image recognition consists of a set of techniques for detecting, analyzing, and interpreting images to favor decision-making - the task of recognizing what an image represents. Using deep learning and trained neural networks algorithms, image recognition is capable of identifying objects of interest within an image (such as people, features of a product, or places) and recognize which category they belong to. Some of the current and future applications of image recognition that can help improve personalized experiences include targeted advertising, face analysis, smart photo libraries, and enhanced research capability.