What is LFM?

LFM (Latent Feature Mapping) is a technology that aims to map high-dimensional data (like images or text) into a lower-dimensional latent space while preserving important relationships and features. It is often used in recommendation systems, dimensionality reduction, and feature learning. The goal is to uncover hidden patterns and structure within the data, allowing for more efficient processing, visualization, and analysis.