Matrix completion

Matrix completion involves filling in missing data within a matrix, which is like a grid of numbers. Imagine a partially completed spreadsheet where some cells are empty; matrix completion aims to predict these missing values accurately. This technique is used in applications like recommending movies based on user preferences, where not every user rates every movie. By recognizing patterns and relationships in the available data, algorithms can infer the missing information, helping to reconstruct the full matrix efficiently and accurately.