categorygeneration
Category generation is a process used in various fields, particularly in machine learning and information retrieval, to automatically assign items to predefined categories. The goal is to create a system that can accurately classify new, unseen data based on patterns learned from existing labeled data. This is often achieved through supervised learning algorithms.
In machine learning, category generation involves training a model on a dataset where each item is already
The effectiveness of category generation heavily relies on the quality and quantity of the training data. Well-defined
Applications of category generation are widespread. In e-commerce, it's used to categorize products for better search