Filtering algorithms are designed to process and refine datasets by removing unwanted noise and irrelevant elements, ensuring that the information extracted is both accurate and relevant. These algorithms are critical in applications ranging from data mining and signal processing to recommendation systems and web content filtering, enabling efficient and effective data utilization.